Dr. Michele Insanally

The Insanally Lab is hiring postdocs to study the neural basis of auditory perception and learning. We incorporate a wide range of techniques including behavioral paradigms, in vivo multi-region neural recordings, optogenetics, chemogenetics, fiber photometry, and novel computational methods. Our lab is super supportive, collaborative, and we take mentoring seriously! Located at Pitt, our lab is part of a large systems neuroscience community that includes CNBC and CMU. For inquiries, feel free to reach out to me here: mni@pitt.edu. To find out more about our work, visit Insanallylab.com

Dr. Rudy Behnia

The Behnia Lab, is seeking to hire a Postdoctoral Research Scientist to assist with studies on how our brains see the world around us. The overarching goal of the lab is to define the processing steps that transform light signals in photoreceptors into feature of a visual scene such as color or direction of motion. For a given visual feature, we aim to describe not only the underlying mathematic operations (algorithms) that govern a transformation, but also the neural circuits that implement these. We make extensive use of connectomics data, as well as the abundant genetic tools available in fruit flies, and collaborate extensively with theorist to build biologically constrained models of perception. We are also interested in understanding how different internal/environmental states or other sensory systems influence the visual perception and how multisensory representations are used for higher cognitive functions such as learning and navigation. We invite to you review our website for more details about our work: http://behnialab.neuroscience.columbia.edu. Example projects include: 1/ A multidisciplinary collaboration with the laboratory of Ashok Litwin-Kumar at the Center for Theoretical Neuroscience, aimed at defining circuit mechanisms underlying multisensory learning, 2/ Investigating the role of neuromodulatory systems in color processing. Please contact Rudy Behnia directly at rb3161@columbia.edu for more details. The Behnia lab is part of the Columbia University’s Mortimer B. Zuckerman Mind Brain Behavior Institute (the Zuckerman Institute) brings together world-class researchers from varied scientific disciplines to explore aspects of mind and brain, through the exchange of ideas and active collaboration. The Zuckerman Institute’s home, the Jerome L. Greene Science Center is a state-of-the-art facility on Columbia’s Manhattanville campus. Situated in the heart of Manhattan in New York City, the Zuckerman Institute houses over 50 laboratories employing a broad range of interdisciplinary approaches to transform our understanding of the mind and brain. In this highly collaborative environment, experimental, computational, and theoretical labs work together to gain critical insights into how the brain develops, performs, endures and recovers. The Zuckerman Institute provides multiple levels of support for postdoctoral researchers (https://zuckermaninstitute.columbia.edu/postdocs). The Postdoc Program provides postdocs with an enriched research environment to advance their scientific training and support their professional growth. This includes frameworks to build a professional network of mentors and peers, through the personal board of advisors, as well as leadership opportunities, workshops and opportunities for public engagement. The Behnia lab strives to provide a supportive environment where creativity, independence, work/life balance are valued. We are strong advocates of diversity, equality, inclusion and belonging. We encourage application from applicants from diverse backgrounds. Prior experience in quantitative analysis of neuronal recordings and/or behavior and related programming skills (Python, version control, databases) are required. Prior expertise with in vivo imaging, electrophysiological recordings or behavioral studies, as well as superior motivation, drive and demonstrated aptitude for carrying out independent research are highly desirable qualifications. In addition, the ideal candidate would seek to work in a highly diverse and collaborative environment.

Dr. Rudy Behnia

The Behnia Lab, is seeking to hire a Postdoctoral Research Scientist to assist with studies on how our brains see the world around us. The overarching goal of the lab is to define the processing steps that transform light signals in photoreceptors into feature of a visual scene such as color or direction of motion. For a given visual feature, we aim to describe not only the underlying mathematic operations (algorithms) that govern a transformation, but also the neural circuits that implement these. We make extensive use of connectomics data, as well as the abundant genetic tools available in fruit flies, and collaborate extensively with theorist to build biologically constrained models of perception. We are also interested in understanding how different internal/environmental states or other sensory systems influence the visual perception and how multisensory representations are used for higher cognitive functions such as learning and navigation. We invite to you review our website for more details about our work: http://behnialab.neuroscience.columbia.edu. Example projects include: 1/ A multidisciplinary collaboration with the laboratory of Ashok Litwin-Kumar at the Center for Theoretical Neuroscience, aimed at defining circuit mechanisms underlying multisensory learning, 2/ Investigating the role of neuromodulatory systems in color processing. Please contact Rudy Behnia directly at rb3161@columbia.edu for more details. The Behnia lab is part of the Columbia University’s Mortimer B. Zuckerman Mind Brain Behavior Institute (the Zuckerman Institute) brings together world-class researchers from varied scientific disciplines to explore aspects of mind and brain, through the exchange of ideas and active collaboration. The Zuckerman Institute’s home, the Jerome L. Greene Science Center is a state-of-the-art facility on Columbia’s Manhattanville campus. Situated in the heart of Manhattan in New York City, the Zuckerman Institute houses over 50 laboratories employing a broad range of interdisciplinary approaches to transform our understanding of the mind and brain. In this highly collaborative environment, experimental, computational, and theoretical labs work together to gain critical insights into how the brain develops, performs, endures and recovers. The Zuckerman Institute provides multiple levels of support for postdoctoral researchers (https://zuckermaninstitute.columbia.edu/postdocs). The Postdoc Program provides postdocs with an enriched research environment to advance their scientific training and support their professional growth. This includes frameworks to build a professional network of mentors and peers, through the personal board of advisors, as well as leadership opportunities, workshops and opportunities for public engagement. The Behnia lab strives to provide a supportive environment where creativity, independence, work/life balance are valued. We are strong advocates of diversity, equality, inclusion and belonging. We encourage application from applicants from diverse backgrounds.

Dr. Loren Frank

The Frank Lab at the University of California, San Francisco is looking for a Junior Specialist Technician to begin work January 2021 or later. This is a full-time paid position with a two-year minimum commitment required. During this time, the technician will work directly with a postdoctoral fellow and may also contribute to other lab projects as time allows. The lab investigates the neural underpinnings of learning and memory by collecting in vivo electrophysiological recordings from the hippocampus of rats while they learn and perform complex, memory-dependent behaviors. We have developed cutting-edge decoding algorithms to capture neural representations of spatial location as rats navigate an environment. The specific project aims to measure how such spatial representations are altered in aged rats compared to young rats and assess whether changes in spatial representation might drive changes in performance of a memory-dependent task. Please reach out to Anna Gillespie (postdoc) if interested. Responsibilities include: Handling and behavioral training of rats Construction of microelectrode drives Participation in rat implant surgeries Development of behavioral and neural data analyses Collection of large scale electrophysiological and behavioral datasets

Dr Guillermina López-Bendito

The López-Bendito Lab is interested in understanding and uncovering the principles underlying the development of sensory circuits with emphasis on the role of the thalamus in the development of cortical sensory maps. Furthermore, we are developing strategies for circuit restoration in sensory deprived mice. We are seeking for two (2) highly motivated postdoctoral scientists to investigate the cellular and molecular mechanisms involved in sensory circuit glia-to-neuron reprogramming. This 3-years project funded by La Caixa Foundation aims to understand the rules for region-specific reprogramming with the ultimate goal of recovery sensory thalamocortical circuits in sensory deprived mice. Applicants should have a proven track record and an independent working style.

Alberto Bacci

The successful candidate will work on inhibitory circuits of the prefrontal cortex of mice. In particular, they will study the properties and plasticity of synapses connecting a rich diversity of prefrontal cortical neuron subtypes. The candidate will also perform and analyze electrophysiological recordings in vivo, using high-density Neuropixels probes. This project is part of an ERA-Net NEURON international consortium and focuses on the rich diversity of GABAergic interneurons and their impact on the functional states of prefrontal cortical networks in healthy and diseased states.

Unpacking the role of the medial septum in spatial coding in the medial entorhinal cortex

Fear learning induces synaptic potentiation between engram neurons in the rat lateral amygdala

Fear learning induces synaptic potentiation between engram neurons in the rat lateral amygdala. This study by Marios Abatis et al. demonstrates how fear conditioning strengthens synaptic connections between engram cells in the lateral amygdala, revealed through optogenetic identification of neuronal ensembles and electrophysiological measurements. The work provides crucial insights into memory formation mechanisms at the synaptic level, with implications for understanding anxiety disorders and developing targeted interventions. Presented by Dr. Kenneth Hayworth, this journal club will explore the paper's methodology linking engram cell reactivation with synaptic plasticity measurements, and discuss implications for memory decoding research.

Combined electrophysiological and optical recording of multi-scale neural circuit dynamics

This webinar will showcase new approaches for electrophysiological recordings using our silicon neural probes and surface arrays combined with diverse optical methods such as wide-field or 2-photon imaging, fiber photometry, and optogenetic perturbations in awake, behaving mice. Multi-modal recording of single units and local field potentials across cortex, hippocampus and thalamus alongside calcium activity via GCaMP6F in cortical neurons in triple-transgenic animals or in hippocampal astrocytes via viral transduction are brought to bear to reveal hitherto inaccessible and under-appreciated aspects of coordinated dynamics in the brain.

Closed-loop deep brain stimulation as a neuroprosthetic of dopaminergic circuits – Current evidence and future opportunities; Spatial filtering to enhance signal processing in invasive neurophysiology

On Thursday February 15th, we will host Victoria Peterson and Julian Neumann. Victoria will tell us about “Spatial filtering to enhance signal processing in invasive neurophysiology”. Besides his scientific presentation on “Closed-loop deep brain stimulation as a neuroprosthetic of dopaminergic circuits – Current evidence and future opportunities”, Julian will give us a glimpse at the person behind the science. The talks will be followed by a shared discussion. Note: The talks will exceptionally be held at 10 ET / 4PM CET. You can register via talks.stimulatingbrains.org to receive the (free) Zoom link!

Consolidation of remote contextual memory in the neocortical memory engram

Recent studies identified memory engram neurons, a neuronal population that is recruited by initial learning and is reactivated during memory recall.  Memory engram neurons are connected to one another through memory engram synapses in a distributed network of brain areas.  Our central hypothesis is that an associative memory is encoded and consolidated by selective strengthening of engram synapses.  We are testing this hypothesis, using a combination of engram cell labeling, optogenetic/chemogenetic, electrophysiological, and virus tracing approaches in rodent models of contextual fear conditioning.  In this talk, I will discuss our findings on how synaptic plasticity in memory engram synapses contributes to the acquisition and consolidation of contextual fear memory in a distributed network of the amygdala, hippocampus, and neocortex.

Adaptive deep brain stimulation to treat gait disorders in Parkinson's disease; Personalized chronic adaptive deep brain stimulation outperforms conventional stimulation in Parkinson's disease

On Friday, August 31st we will host Stephanie Cernera & Doris Wang! Stephanie Cernera, PhD, is a postdoctoral research fellow in the Starr lab at University of California San Francisco. She will tell us about “Personalized chronic adaptive deep brain stimulation outperforms conventional stimulation in Parkinson’s Disease”. Doris Wang, MD, PhD, is a neurosurgeon and assistant professor at the University of California San Francisco. Apart from her scientific presentation about “Adaptive Deep Brain Stimulation to Treat Gait Disorders in Parkinson’s Disease”, she will give us a glimpse at the “Person behind the science”. The talks will be followed by a shared discussion. You can register via talks.stimulatingbrains.org to receive the (free) Zoom link!

The balanced brain: two-photon microscopy of inhibitory synapse formation

Coordination between excitatory and inhibitory synapses (providing positive and negative signals respectively) is required to ensure proper information processing in the brain. Many brain disorders, especially neurodevelopental disorders, are rooted in a specific disturbance of this coordination. In my research group we use a combination of two-photon microscopy and electrophisiology to examine how inhibitory synapses are fromed and how this formation is coordinated with nearby excitatroy synapses.

Distinct contributions of different anterior frontal regions to rule-guided decision-making in primates: complementary evidence from lesions, electrophysiology, and neurostimulation

Different prefrontal areas contribute in distinctly different ways to rule-guided behaviour in the context of a Wisconsin Card Sorting Test (WCST) analog for macaques. For example, causal evidence from circumscribed lesions in NHPs reveals that dorsolateral prefrontal cortex (dlPFC) is necessary to maintain a reinforced abstract rule in working memory, orbitofrontal cortex (OFC) is needed to rapidly update representations of rule value, and the anterior cingulate cortex (ACC) plays a key role in cognitive control and integrating information for correct and incorrect trials over recent outcomes. Moreover, recent lesion studies of frontopolar cortex (FPC) suggest it contributes to representing the relative value of unchosen alternatives, including rules. Yet we do not understand how these functional specializations relate to intrinsic neuronal activities nor the extent to which these neuronal activities differ between different prefrontal regions. After reviewing the aforementioned causal evidence I will present our new data from studies using multi-area multi-electrode recording techniques in NHPs to simultaneously record from four different prefrontal regions implicated in rule-guided behaviour. Multi-electrode micro-arrays (‘Utah arrays’) were chronically implanted in dlPFC, vlPFC, OFC, and FPC of two macaques, allowing us to simultaneously record single and multiunit activity, and local field potential (LFP), from all regions while the monkey performs the WCST analog. Rule-related neuronal activity was widespread in all areas recorded but it differed in degree and in timing between different areas. I will also present preliminary results from decoding analyses applied to rule-related neuronal activities both from individual clusters and also from population measures. These results confirm and help quantify dynamic task-related activities that differ between prefrontal regions. We also found task-related modulation of LFPs within beta and gamma bands in FPC. By combining this correlational recording methods with trial-specific causal interventions (electrical microstimulation) to FPC we could significantly enhance and impair animals performance in distinct task epochs in functionally relevant ways, further consistent with an emerging picture of regional functional specialization within a distributed framework of interacting and interconnected cortical regions.

More than a beast growing in a passive brain: excitation and inhibition drive epilepsy and glioma progression

Gliomas are brain tumors formed by networks of connected tumor cells, nested in and interacting with neuronal networks. Neuronal activities interfere with tumor growth and occurrence of seizures affects glioma prognosis, while the developing tumor triggers seizures in the infiltrated cortex. Oncometabolites produced by tumor cells and neurotransmitters affect both the generation of epileptic activities by neurons and the growth of glioma cells through synaptic-related mechanisms, involving both GABAergic / Chloride pathways and glutamatergic signaling. From a clinical sight, epilepsy occurrence is beneficial to glioma prognosis but growing tumors are epileptogenic, which constitutes a paradox. This lecture will review how inhibitory and excitatory signaling drives glioma growth and how epileptic and oncological processes are interfering, with a special focus on the human brain.

Silences, Spikes and Bursts: Three-Part Knot of the Neural Code

When a neuron breaks silence, it can emit action potentials in a number of patterns. Some responses are so sudden and intense that electrophysiologists felt the need to single them out, labeling action potentials emitted at a particularly high frequency with a metonym – bursts. Is there more to bursts than a figure of speech? After all, sudden bouts of high-frequency firing are expected to occur whenever inputs surge. In this talk, I will discuss the implications of seeing the neural code as having three syllables: silences, spikes and bursts. In particular, I will describe recent theoretical and experimental results that implicate bursting in the implementation of top-down attention and the coordination of learning.

Baby steps to breakthroughs in precision health in neurodevelopmental disorders

High capacity electrophysiology: Lots more data, problematic analysis

New Insights into the Neural Machinery of Face Recognition

Imperial Neurotechnology 2022 - Annual Research Symposium

A diverse mix of neurotechnology talks and posters from researchers at Imperial and beyond. Visit our event page to find out more. The event is in-person but talk sessions will be broadcast via Teams.

Modularity and Robustness of Frontal Cortical Networks

Nuo Li (Baylor College of Medicine, USA) shares novel insights into coordinated interhemispheric large-scale neural network activity underpinning short-term memory in mice. Relevant techniques covered include: simultaneous multi-regional recordings using multiple 64-channel H probes during head-fixed behavior in mice. simultaneous optogenetics and population recording. analysis of population recordings to infer interactions between brain regions. Reference: Chen G, Kang B, Lindsey J, Druckmann S, Li N, (2021). Modularity and robustness of frontal cortex networks. Cell, 184(14):3717-3730.

Neural Representations of Social Homeostasis

How does our brain rapidly determine if something is good or bad? How do we know our place within a social group? How do we know how to behave appropriately in dynamic environments with ever-changing conditions? The Tye Lab is interested in understanding how neural circuits important for driving positive and negative motivational valence (seeking pleasure or avoiding punishment) are anatomically, genetically and functionally arranged. We study the neural mechanisms that underlie a wide range of behaviors ranging from learned to innate, including social, feeding, reward-seeking and anxiety-related behaviors. We have also become interested in “social homeostasis” -- how our brains establish a preferred set-point for social contact, and how this maintains stability within a social group. How are these circuits interconnected with one another, and how are competing mechanisms orchestrated on a neural population level? We employ optogenetic, electrophysiological, electrochemical, pharmacological and imaging approaches to probe these circuits during behavior.

What does time of day mean for vision?

Profound changes in the visual environment occur over the course of the day-night cycle. There is therefore a profound pressure for cells and circuits within the visual system to adjust their function over time, to match the prevailing visual environment. Here, I will discuss electrophysiological data collected from nocturnal and diurnal rodents that reveal how the visual code is ‘temporally optimised’ by 1) the retina’s circadian clock, and 2) a change in behavioural temporal niche.

Cortex-dependent corrections as the mouse tongue reaches for and misses targets

Brendan Ito (Cornell University, USA) and Teja Bollu (Salk Institute, USA) share unique insights into rapid online motor corrections during mouse licking, analogous to primate goal-oriented reaching. Techniques covered include large-scale single unit recording during behaviour with optogenetics, and a deep-learning-based neural network to resolve 3D tongue kinematics during licking.

Sensing in Insect Wings

Ali Weber (University of Washington, USA) uses the the hawkmoth as a model system, to investigate how information from a small number of mechanoreceptors on the wings are used in flight control. She employs a combination of experimental and computational techniques to study how these sensors respond during flight and how one might optimally array a set of these sensors to best provide feedback during flight.

2nd In-Vitro 2D & 3D Neuronal Networks Summit

The event is open to everyone interested in Neuroscience, Cell Biology, Drug Discovery, Disease Modeling, and Bio/Neuroengineering! This meeting is a platform bringing scientists from all over the world together and fostering scientific exchange and collaboration.

2nd In-Vitro 2D & 3D Neuronal Networks Summit

The event is open to everyone interested in Neuroscience, Cell Biology, Drug Discovery, Disease Modeling, and Bio/Neuroengineering! This meeting is a platform bringing scientists from all over the world together and fostering scientific exchange and collaboration.

The french roots of electrophysiology

This talk looks at the subject of my biography, the German physiologist Emil du Bois-Reymond (1818–1896). With respect to his philosophy of biological reduction, his methods of electrophysiological experiment, and his co-discovery of the action potential, du Bois-Reymond is generally considered one of the founders of neuroscience. Less well known are the origins of his innovation: French writers shaped his outlook on science, just as French scientists shaped his practice in the laboratory. I contend that du Bois-Reymond’s originality is the product of his synthesis of French traditions with German concerns.

Networking—the key to success… especially in the brain

In our everyday lives, we form connections and build up social networks that allow us to function successfully as individuals and as a society. Our social networks tend to include well-connected individuals who link us to other groups of people that we might otherwise have limited access to. In addition, we are more likely to befriend individuals who a) live nearby and b) have mutual friends. Interestingly, neurons tend to do the same…until development is perturbed. Just like social networks, neuronal networks require highly connected hubs to elicit efficient communication at minimal cost (you can’t befriend everybody you meet, nor can every neuron wire with every other!). This talk will cover some of Alex’s work showing that microscopic (cellular scale) brain networks inferred from spontaneous activity show similar complex topology to that previously described in macroscopic human brain scans. The talk will also discuss what happens when neurodevelopment is disrupted in the case of a monogenic disorder called Rett Syndrome. This will include simulations of neuronal activity and the effects of manipulation of model parameters as well as what happens when we manipulate real developing networks using optogenetics. If functional development can be restored in atypical networks, this may have implications for treatment of neurodevelopmental disorders like Rett Syndrome.

Imperial Neurotechnology 2021 - Annual Research Symposium

A diverse mix of neurotechnology talks from academic and industry colleagues plus presentations from our MRes Neurotechnology students. Visit our event page to find out more and register now!

Technologies for large scale cortical imaging and electrophysiology

Neural computations occurring simultaneously in multiple cerebral cortical regions are critical for mediating behaviors. Progress has been made in understanding how neural activity in specific cortical regions contributes to behavior. However, there is a lack of tools that allow simultaneous monitoring and perturbing neural activity from multiple cortical regions. We have engineered a suite of technologies to enable easy, robust access to much of the dorsal cortex of mice for optical and electrophysiological recordings. First, I will describe microsurgery robots that can programmed to perform delicate microsurgical procedures such as large bilateral craniotomies across the cortex and skull thinning in a semi-automated fashion. Next, I will describe digitally designed, morphologically realistic, transparent polymer skulls that allow long-term (>300 days) optical access. These polymer skulls allow mesoscopic imaging, as well as cellular and subcellular resolution two-photon imaging of neural structures up to 600 µm deep. We next engineered a widefield, miniaturized, head-mounted fluorescence microscope that is compatible with transparent polymer skull preparations. With a field of view of 8 × 10 mm2 and weighing less than 4 g, the ‘mini-mScope’ can image most of the mouse dorsal cortex with resolutions ranging from 39 to 56 µm. We used the mini-mScope to record mesoscale calcium activity across the dorsal cortex during sensory-evoked stimuli, open field behaviors, social interactions and transitions from wakefulness to sleep.

Assessing and improving vision restoration using ex vivo retina

GED: A flexible family of versatile methods for hypothesis-driven multivariate decompositions

Does that title put you to sleep or pique your interest? The goal of my presentation is to introduce a powerful yet under-utilized mathematical equation that is surprisingly effective at uncovering spatiotemporal patterns that are embedded in data -- but that might be inaccessible in traditional analysis methods due to low SNR or sparse spatial distribution. If you flunked calculus, then don't worry: the math is really easy, and I'll spend most of the time discussing intuition, simulations, and applications in real data. I will also spend some time in the beginning of the talk providing a bird's-eye-view of the empirical research in my lab, which focuses on mesoscale brain dynamics associated with error monitoring and response competition.

Robust multiband drift estimation in electrophysiology data

COSYNE 2023

Combining electrophysiology, tissue clearing, and light sheet microscopy for an integrated approach towards brain circuit understanding

FENS Forum 2024

Evaluating the spread of excitation with different types of optogenetic cochlear stimulation through computer simulations and in vivo electrophysiology

FENS Forum 2024

Integrated electrophysiology and fiber photometry examination of the prefrontal cortex in the mouse model of implicit learning

FENS Forum 2024

Investigation of GABA transport and the GABA/Na+ relationship in human GAT1 using solid-supported membrane-based electrophysiology

FENS Forum 2024

Maternal separation modifies the stress sensitivity, electrophysiology, and morphology of rat nucleus incertus neurons

FENS Forum 2024

MRI-visible superparamagnetic ultraflexible electrodes for precision electrophysiology

FENS Forum 2024

Navigating through the entorhinal cortex: Combining single-cell electrophysiology and RNA sequencing to advance our knowledge on the neuronal architecture

FENS Forum 2024

Next-generation electrophysiology for functional characterization of human neural organoids

FENS Forum 2024

Simultaneous calcium imaging and extracellular electrophysiology using CMOS-based imaging devices with an integrated carbon electrode for freely moving mice experiments

FENS Forum 2024

Streamlining electrophysiology data analysis: A Python-based workflow for efficient integration and processing

FENS Forum 2024