690 citations
Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.
- National Institutes of HealthUS46 papers
- Seoul National UniversityKR5 papers
- Korea Institute for Advanced StudyKR4 papers
- Quảng Bình UniversityVN4 papers
- The University of Texas at AustinUS4 papers
- Keimyung UniversityKR3 papers
- Lehigh UniversityUS3 papers
- Princeton UniversityUS3 papers
- University at Buffalo, State University of New YorkUS3 papers
- University of ViennaAT3 papers
- Asia Pacific Center for Theoretical PhysicsKR2 papers
- Centre National de la Recherche ScientifiqueFR2 papers
5 papers · 1 filter
Decoding Neural Responses in Mouse Visual Cortex through a Deep Neural Network
Asim Iqbal, Phil Dong, Christopher M Kim +1
Finding a code to unravel the population of neural responses that leads to a distinct animal behavior has been a long-standing question in the field of neuroscience. With the recen…
Finite size effects for spiking neural networks with spatially dependent coupling
Siwei Qiu, Carson Chow
We study finite-size fluctuations in a network of spiking deterministic neurons coupled with non-uniform synaptic coupling. We generalize a previously developed theory of finite si…
Learning recurrent dynamics in spiking networks
Christopher Kim, Carson Chow
Spiking activity of neurons engaged in learning and performing a task show complex spatiotemporal dynamics. While the output of recurrent network models can learn to perform variou…
Generalized activity equations for spiking neural network dynamics
Michael A. Buice, Carson C. Chow
Much progress has been made in uncovering the computational capabilities of spiking neural networks. However, spiking neurons will always be more expensive to simulate compared to…
Stochastic dynamics of a finite-size spiking neural network
H. Soula, C. C. Chow
We present a simple Markov model of spiking neural dynamics that can be analytically solved to characterize the stochastic dynamics of a finite-size spiking neural network. We give…