Training dynamically balanced excitatory-inhibitory networks
نویسندگان
چکیده
منابع مشابه
Chaos in neuronal networks with balanced excitatory and inhibitory activity.
Neurons in the cortex of behaving animals show temporally irregular spiking patterns. The origin of this irregularity and its implications for neural processing are unknown. The hypothesis that the temporal variability in the firing of a neuron results from an approximate balance between its excitatory and inhibitory inputs was investigated theoretically. Such a balance emerges naturally in lar...
متن کاملTemporal integration of balanced excitatory and inhibitory inputs
Temporal integration of information plays a pivotal role in a variety of cognitive processes, such as sensory discrimination, decision-making or interval timing. However, neural mechanisms of this computation remain to be elucidated. In previous models of temporal integration by recurrent neuronal networks [1] or single neurons [2], neurons integrate a constant external input. Recent lines of e...
متن کاملTraining Excitatory-Inhibitory Recurrent Neural Networks for Cognitive Tasks: A Simple and Flexible Framework
The ability to simultaneously record from large numbers of neurons in behaving animals has ushered in a new era for the study of the neural circuit mechanisms underlying cognitive functions. One promising approach to uncovering the dynamical and computational principles governing population responses is to analyze model recurrent neural networks (RNNs) that have been optimized to perform the sa...
متن کاملA dynamically-Balanced Walking Biped
Describes the mechanical, electronic and software design of a 10-DOF bipedal robot which has been constructed to study control, parameterisation and automatic expansion of the stability envelope of a complex real-time behaviour, namely, dynamically-balanced two-legged walking. The machine is physically complete and demonstrates reasonable reliability in movement control including dynamically-ba...
متن کاملDiscrete dynamics of the oscillations in excitatory-inhibitory neural networks
The primary goal of this work is to characterize the oscillatory behavior of excitatory-inhibitory networks. Biologically, oscillatory neural synchronization can be defined as the process by which two or more neurons oscillate in relative phase angles. In transiently synchronized neural oscillations, different subsets of neurons fire at different phases of oscillatory cycles. Networks displayin...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: PLOS ONE
سال: 2019
ISSN: 1932-6203
DOI: 10.1371/journal.pone.0220547