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 …
sometimes improve information processing in non-linear systems. One such form …
Inverse stochastic resonance in cerebellar Purkinje cells
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 …
only projection from the cerebellar cortex to deeper cerebellar structures. They have …
Neurostimulation stabilizes spiking neural networks by disrupting seizure-like oscillatory transitions
An improved understanding of the mechanisms underlying neuromodulatory approaches to
mitigate seizure onset is needed to identify clinical targets for the treatment of epilepsy …
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
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 …
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
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 …
fire (NLIF) neurons. The phase-plane analysis on the NLIF neuron highlights its spiking …
Dynamical structure underlying inverse stochastic resonance and its implications
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 …
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
Embedded, continual learning for autonomous and adaptive behavior is a key application of
neuromorphic hardware. However, neuromorphic implementations of embedded learning at …
neuromorphic hardware. However, neuromorphic implementations of embedded learning at …
Concomitance of inverse stochastic resonance and stochastic resonance in a minimal bistable spiking neural circuit
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 …
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 …
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 …
approximation used in studying electrical dynamics of excitable cells is that the ionic …