A5002587800- Neural dynamics and brain function
- Neuroscience and Neural Engineering
- Photoreceptor and optogenetics research
- Neuroscience and Neuropharmacology Research
- Advanced Memory and Neural Computing
- stochastic dynamics and bifurcation
- Neurobiology and Insect Physiology Research
- Receptor Mechanisms and Signaling
- Visual perception and processing mechanisms
- Neural Networks and Applications
- Olfactory and Sensory Function Studies
- Zebrafish Biomedical Research Applications
- Neural Networks and Reservoir Computing
- Ion channel regulation and function
- Gene Regulatory Network Analysis
- Tensor decomposition and applications
- Hearing Loss and Rehabilitation
- Electrochemical Analysis and Applications
- EEG and Brain-Computer Interfaces
- Pancreatic function and diabetes
- High-pressure geophysics and materials
- Mental Health Research Topics
- Hearing, Cochlea, Tinnitus, Genetics
- Insect Utilization and Effects
- Elasticity and Material Modeling
Center for Systems Biology
2024
Boston University
2020-2024
Allen Institute
2016-2023
Allen Institute for Brain Science
2016-2021
University of Pittsburgh
2011-2019
Center for the Neural Basis of Cognition
2012-2019
Carnegie Mellon University
2012-2019
Summary To understand how the brain processes sensory information to guide behavior, we must know stimulus representations are transformed throughout visual cortex. Here report an open, large-scale physiological survey of neural activity in awake mouse cortex: Allen Brain Observatory Visual Coding dataset. This publicly available dataset includes cortical from nearly 60,000 neurons collected 6 areas, 4 layers, and 12 transgenic lines 221 adult mice, response a systematic set stimuli. Using...
The circuit mechanisms behind shared neural variability (noise correlation) and its dependence on state are poorly understood. Visual attention is well-suited to constrain cortical models of response because both increases firing rates their stimulus sensitivity, as well decreases noise correlations. We provide a novel analysis population recordings in rhesus primate visual area V4 showing that single biophysical mechanism may underlie these diverse correlates attention. explore model...
Despite advances in experimental techniques and accumulation of large datasets concerning the composition properties cortex, quantitative modeling cortical circuits under in-vivo-like conditions remains challenging. Here we report publicly release a biophysically detailed circuit model layer 4 mouse primary visual receiving thalamo-cortical inputs. The 45,000-neuron was subjected to battery stimuli, results were compared published work new vivo experiments. Simulations reproduced variety...
The dimensionality of a network's collective activity is increasing interest in neuroscience. This because provides compact measure how coordinated network-wide is, terms the number modes (or degrees freedom) that it can independently explore. A low suggests compressed dimensional neural code and reveals interpretable dynamics [1], while findings high dimension may suggest flexible computations [2, 3]. Here, we address fundamental question related to connectivity, both autonomous...
Vasoactive intestinal peptide-expressing (VIP) interneurons in the cortex regulate feedback inhibition of pyramidal neurons through suppression somatostatin-expressing (SST) and, reciprocally, SST inhibit VIP neurons. Although neuron activity primary visual (V1) mouse is highly correlated with locomotion, relevance locomotion-related to coding not known. Here we show that V1 respond strongly low contrast front-to-back motion congruent self-motion during locomotion but are suppressed by other...
The detection of novel stimuli is critical to learn and survive in a dynamic environment. Though powerfully affect brain activity, their impact on specific cell types circuits not well understood. Disinhibition one candidate mechanism for novelty-induced enhancements activity. Here we characterize the stimulus novelty disinhibitory circuit components using longitudinal 2-photon calcium imaging Vip, Sst, excitatory populations mouse visual cortex. Mice behavioral task with that become highly...
Summary A fundamental question in neuroscience is how memory formation shapes brain activity at the level of populations neurons. Recent studies hippocampal ‘engram’ cells, identified by immediate-early genes (IEGs) induced learning, propose that these act as a neuronal substrate for storage. The current framework engram proposes cells join ensembles based on increased intrinsic excitability, and after initial they co-activate to support retrieval. However, direct evidence population...
The synaptic connectivity of cortical networks features an overrepresentation certain wiring motifs compared to simple random-network models. This structure is shaped, in part, by plasticity that promotes or suppresses connections between neurons depending on their joint spiking activity. Frequently, theoretical studies focus how feedforward inputs drive create this network structure. We study the complementary scenario self-organized a recurrent network, with spike timing-dependent driven...
Abstract The mammalian visual system, from retina to neocortex, has been extensively studied at both anatomical and functional levels. Anatomy indicates the cortico-thalamic system is hierarchical, but characterization of cellular-level interactions across multiple levels this hierarchy lacking, partially due challenge simultaneously recording activity numerous regions. Here, we describe a large, open dataset (part Allen Brain Observatory ) that surveys spiking units in six cortical two...
Recent experimental advances are producing an avalanche of data on both neural connectivity and activity. To take full advantage these two emerging datasets we need a framework that links them, revealing how collective activity arises from the structure intrinsic dynamics. This problem {\it structure-driven activity} has drawn major interest in computational neuroscience. Existing methods for relating architecture spiking networks rely linearizing around central operating point thus fail to...
Extracellular electrophysiology and two-photon calcium imaging are widely used methods for measuring physiological activity with single-cell resolution across large populations of cortical neurons. While each these two modalities has distinct advantages disadvantages, neither provides complete, unbiased information about the underlying neural population. Here, we compare evoked responses in visual cortex recorded awake mice under highly standardized conditions using either genetically...
The synaptic connectivity of cortex is plastic, with experience shaping the ongoing interactions between neurons. Theoretical studies spike timing-dependent plasticity (STDP) have focused on either just pairs neurons or large-scale simulations. A simple analytic account for how fast time correlations affect both microscopic and macroscopic network structure lacking. We develop a low-dimensional mean field theory STDP in recurrent networks show emergence assemblies strongly coupled shared...
The brain contains an astronomical number of neurons, but it is their collective activity that underlies function. degrees freedom this explores – its dimensionality therefore a fundamental signature neural dynamics and computation (1–7). However, not known what controls in the biological particular whether how recurrent synaptic networks play role (8–10). Through analysis high-density Neuropixels recordings (11), we argue areas across mouse cortex operate sensitive regime gives these very...
The early olfactory system is canonically described by a "one-receptor-to-one-neuron" model: each sensory neuron (OSN) expresses single type of receptor. Although the systems classic model organisms approximately follow this canonical organization, many exceptions are known. In particular, Aedes aegypti mosquitoes co-express multiple types receptors in OSNs. Why do some organization while others violate it? We approach question from normative perspective efficient coding. find that and...
Neurons rely on action potentials, or spikes, to relay information. Pathological changes in spike generation likely contribute certain enigmatic features of neurological disease, like paroxysmal attacks pain and muscle spasm. Paroxysmal symptoms are characterized by abrupt onset short duration, associated with abnormal spiking although the exact pathophysiology remains unclear. To help decipher biophysical basis for 'paroxysmal' spiking, we replicated afterdischarge (i.e. continued after a...
Low-threshold M currents are mediated by the Kv7 family of potassium channels. channels important regulators spiking activity, having a direct influence on firing rate, spike time variability, and filter properties neurons. How affect joint activity populations neurons is an open area study. Using combination computational simulations analytic calculations, we show that activation conductances reduces covariability between trains pairs driven common inputs. This reduction beyond explained...
Abstract Extracellular electrophysiology and two-photon calcium imaging are widely used methods for measuring physiological activity with single-cell resolution across large populations of neurons in the brain. While these two modalities have distinct advantages disadvantages, neither provides complete, unbiased information about underlying neural population. Here, we compare evoked responses visual cortex recorded awake mice under highly standardized conditions using either or...
The neural dynamics generating sensory, motor, and cognitive functions are commonly understood through field theories for population activity. Classic derived from highly simplified models of individual neurons, while biological neurons complex cells. Integrate-and-fire retain a key nonlinear feature neuronal activity: Action potentials return the membrane potential to nearly fixed reset value. This voltage after spike is absent classic theories. Here, we develop statistical theory networks...
Abstract Recent experimental advances are producing an avalanche of data on both neural connectivity and activity. To take full advantage these two emerging datasets we need a framework that links them, revealing how collective activity arises from the structure intrinsic dynamics. This problem structure-driven has drawn major interest in computational neuroscience. Existing methods for relating architecture spiking networks rely linearizing around central operating point thus fail to...
Abstract Vasoactive intestinal peptide-expressing (VIP) interneurons in cortex regulate feedback inhibition of pyramidal neurons through suppression somatostatin-expressing (SST) and, reciprocally, SST inhibit VIP neurons. Here, we show that mouse primary visual have complementary contrast tuning to and respond synergistically front-to-back motion locomotion. Network modeling indicates this VIP-SST mutual antagonism regulates the gain achieve both sensitivity behaviorally-relevant stimuli...