70 citations · 77 across the 13 of their papers we have counts for
13 papers
Empirical scaling laws in balanced networks with conductance-based synapses
Vicky Zhu, Gabriel Ocker, Robert Rosenbaum
Strongly coupled, recurrent, balanced network models have been successful in describing and predicting many phenomena observed in cortical neural recordings. However, most balanced…
The Impact of Structural Changes on Learning Capacity in the Fly Olfactory Neural Circuit
Katherine Xie, Gabriel Koch Ocker
The Drosophila mushroom body (MB) is known to be involved in olfactory learning and memory; the synaptic plasticity of the Kenyon cell (KC) to mushroom body output neuron (MBON) sy…
Field-theoretic approach to compartmental neuronal networks: impact of dendritic calcium spike-dependent bursting
Audrey O'Brien Teasley, Gabriel Koch Ocker
Neurons are spatially extended cells; different parts of a neuron have specific voltage dynamics. Important types of neurons even generate different spikes in different parts of th…
Coherent dynamics in soft-threshold integrate-and-fire networks
Lauren Forbes, Jared Grossman, Montie Avery +2
We study bifurcations in networks of integrate-and-fire neurons with stochastic spike emission, focusing on the effects of the spatial and temporal structure of the synaptic intera…
Diverse mean-field dynamics of clustered, inhibition-stabilized Hawkes networks via combinatorial threshold-linear networks
Caitlin Lienkaemper, Gabriel Koch Ocker
Networks of interconnected neurons display diverse patterns of collective activity. Relating this collective activity to the network's connectivity structure is a key goal of compu…
Metastability in networks of nonlinear stochastic integrate-and-fire neurons
Siddharth Paliwal, Gabriel Koch Ocker, Braden A. W. Brinkman
Neurons in the brain continuously process the barrage of sensory inputs they receive from the environment. A wide array of experimental work has shown that the collective activity…
Dynamics of stochastic integrate-and-fire networks
Gabriel Koch Ocker
The neural dynamics generating sensory, motor, and cognitive functions are commonly understood through field theories for neural population activity. Classic neural field theories…
Tensor decomposition of higher-order correlations by nonlinear Hebbian plasticity
Gabriel Koch Ocker, Michael A. Buice
Biological synaptic plasticity exhibits nonlinearities that are not accounted for by classic Hebbian learning rules. Here, we introduce a simple family of generalized nonlinear Heb…
Correlation transfer by layer 5 cortical neurons under recreated synaptic inputs in vitro
Daniele Linaro, Gabriel K. Ocker, Brent Doiron +1
Correlated electrical activity in neurons is a prominent characteristic of cortical microcircuits. Despite a growing amount of evidence concerning both spike-count and subthreshold…
From the statistics of connectivity to the statistics of spike times in neuronal networks
Gabriel Koch Ocker, Yu Hu, Michael A. Buice +4
An essential step toward understanding neural circuits is linking their structure and their dynamics. In general, this relationship can be almost arbitrarily complex. Recent theore…
Linking structure and activity in nonlinear spiking networks
Gabriel Koch Ocker, Krešimir Josić, Eric Shea-Brown +1
Recent experimental advances are producing an avalanche of data on both neural connectivity and neural activity. To take full advantage of these two emerging datasets we need a fra…
Training and spontaneous reinforcement of neuronal assemblies by spike timing
Gabriel Koch Ocker, Brent Doiron
The synaptic connectivity of cortex is plastic, with experience shaping the ongoing interactions between neurons. Theoretical studies of spike timing-dependent plasticity (STDP) ha…
Self-organization of microcircuits in networks of neurons with plastic synapses
Gabriel Koch Ocker, Ashok Litwin-Kumar, Brent Doiron
The synaptic connectivity of cortical networks features an overrepresentation of certain wiring motifs compared to simple random-network models. This structure is shaped, in part,…