Replay in Deep Learning: Current Approaches and Missing Biological Elements

enthalten in: arXiv.org | 2021

von Hayes, T. | Krishnan, G. | Bazhenov, M. | +3

The Unreasonable Effectiveness of Deep Learning in Artificial Intelligence

enthalten in: arXiv.org | 2020

von Sejnowski, T.

Diversity-enabled sweet spots in layered architectures and speed-accuracy trade-offs in sensorimotor control

enthalten in: arXiv.org | 2019

von Nakahira, Y. | Liu, Q. | Sejnowski, T. | +1

Fitts' Law for speed-accuracy trade-off describes a diversity-enabled sweet spot in sensorimotor control

enthalten in: arXiv.org | 2019

von Nakahira, Y. | Liu, Q. | Sejnowski, T. | +1

MCell-R: A particle-resolution network-free spatial modeling framework

enthalten in: arXiv.org | 2018

von Tapia, J. | Saglam, A. | Czech, J. | +4

Spatial Stochastic Modeling with MCell and CellBlender

enthalten in: arXiv.org | 2018

von Gupta, S. | Czech, J. | Kuczewski, R. | +4

Differential covariance: A new method to estimate functional connectivity in fMRI

enthalten in: arXiv.org | 2017

von Lin, T. | Krishnan, G. | Bazhenov, M. | +1

Gradient Descent for Spiking Neural Networks

enthalten in: arXiv.org | 2017

von Huh, D. | Sejnowski, T.

Differential Covariance: A New Class of Methods to Estimate Sparse Connectivity from Neural Recordings

enthalten in: arXiv.org | 2017

von Lin, T. | Das, A. | Krishnan, G. | +2

Short-term synaptic plasticity in the deterministic Tsodyks-Markram model leads to unpredictable network dynamics

enthalten in: arXiv.org | 2013

von Cortes, J. | Desroches, M. | Rodrigues, S. | +3