The benefits of noise in neural systems: bridging theory and experiment

MD McDonnell, LM Ward - Nature Reviews Neuroscience, 2011 - nature.com
Although typically assumed to degrade performance, random fluctuations, or noise, can
sometimes improve information processing in non-linear systems. One such form …

Inverse stochastic resonance in cerebellar Purkinje cells

A Buchin, S Rieubland, M Häusser… - PLoS computational …, 2016 - journals.plos.org
Purkinje neurons play an important role in cerebellar computation since their axons are the
only projection from the cerebellar cortex to deeper cerebellar structures. They have …

Neurostimulation stabilizes spiking neural networks by disrupting seizure-like oscillatory transitions

S Rich, A Hutt, FK Skinner, TA Valiante, J Lefebvre - Scientific reports, 2020 - nature.com
An improved understanding of the mechanisms underlying neuromodulatory approaches to
mitigate seizure onset is needed to identify clinical targets for the treatment of epilepsy …

A review of methods for identifying stochastic resonance in simulations of single neuron models

MD McDonnell, N Iannella, MS To… - … in Neural Systems, 2015 - Taylor & Francis
Stochastic resonance (SR) is said to be observed when the presence of noise in a nonlinear
system enables an output signal from the system to better represent some feature of an input …

Reliability of neuronal information conveyed by unreliable neuristor-based leaky integrate-and-fire neurons: a model study

H Lim, V Kornijcuk, JY Seok, SK Kim, I Kim… - Scientific reports, 2015 - nature.com
We conducted simulations on the neuronal behavior of neuristor-based leaky integrate-and-
fire (NLIF) neurons. The phase-plane analysis on the NLIF neuron highlights its spiking …

Dynamical structure underlying inverse stochastic resonance and its implications

M Uzuntarla, JR Cressman, M Ozer, E Barreto - Physical Review E—Statistical …, 2013 - APS
We investigate inverse stochastic resonance (ISR), a recently reported phenomenon in
which the spiking activity of a Hodgkin-Huxley model neuron subject to external noise …

Neural and synaptic array transceiver: A brain-inspired computing framework for embedded learning

G Detorakis, S Sheik, C Augustine, S Paul… - Frontiers in …, 2018 - frontiersin.org
Embedded, continual learning for autonomous and adaptive behavior is a key application of
neuromorphic hardware. However, neuromorphic implementations of embedded learning at …

Concomitance of inverse stochastic resonance and stochastic resonance in a minimal bistable spiking neural circuit

AP Zamani, N Novikov, B Gutkin - Communications in Nonlinear Science …, 2020 - Elsevier
Stochastic Resonance (SR) is a well-known noise-induced phenomenon widely reported in
dynamical systems with a threshold, while Inverse Stochastic Resonance (ISR) is an …

Analysis of inverse stochastic resonance and the long-term firing of Hodgkin–Huxley neurons with Gaussian white noise

HC Tuckwell, J Jost - Physica A: Statistical Mechanics and its Applications, 2012 - Elsevier
In order to explain the occurrence of a minimum in firing rate which occurs for certain mean
input levels μ as noise level σ increases (inverse stochastic resonance, ISR) in Hodgkin …

Bursting regimes in a reaction-diffusion system with action potential-dependent equilibrium

SR Meier, JL Lancaster, JM Starobin - PloS one, 2015 - journals.plos.org
The equilibrium Nernst potential plays a critical role in neural cell dynamics. A common
approximation used in studying electrical dynamics of excitable cells is that the ionic …