Coding of time-dependent stimuli in homogeneous and heterogeneous neural populations
Published 2017 View Full Article
- Home
- Publications
- Publication Search
- Publication Details
Title
Coding of time-dependent stimuli in homogeneous and heterogeneous neural populations
Authors
Keywords
Integrate-and-fire neuron, Noise, Heterogeneity, Stochastic resonance, Population coding
Journal
JOURNAL OF COMPUTATIONAL NEUROSCIENCE
Volume 44, Issue 2, Pages 189-202
Publisher
Springer Nature
Online
2017-12-08
DOI
10.1007/s10827-017-0674-4
References
Ask authors/readers for more resources
Related references
Note: Only part of the references are listed.- Weakly nonlinear response of noisy neurons
- (2017) Sergej O Voronenko et al. NEW JOURNAL OF PHYSICS
- Synchronous spikes are necessary but not sufficient for a synchrony code in populations of spiking neurons
- (2017) Jan Grewe et al. PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA
- Neural Heterogeneities Determine Response Characteristics to Second-, but Not First-Order Stimulus Features
- (2015) M. G. Metzen et al. JOURNAL OF NEUROSCIENCE
- Slow fluctuations in recurrent networks of spiking neurons
- (2015) Stefan Wieland et al. PHYSICAL REVIEW E
- Experimentally Verified Parameter Sets for Modelling Heterogeneous Neocortical Pyramidal-Cell Populations
- (2015) Paul M. Harrison et al. PLoS Computational Biology
- Two types of asynchronous activity in networks of excitatory and inhibitory spiking neurons
- (2014) Srdjan Ostojic NATURE NEUROSCIENCE
- The Competing Benefits of Noise and Heterogeneity in Neural Coding
- (2014) Eric Hunsberger et al. NEURAL COMPUTATION
- Differential effects of excitatory and inhibitory heterogeneity on the gain and asynchronous state of sparse cortical networks
- (2014) Jorge F. Mejias et al. Frontiers in Computational Neuroscience
- Self-consistent determination of the spike-train power spectrum in a neural network with sparse connectivity
- (2014) Benjamin Dummer et al. Frontiers in Computational Neuroscience
- Intermediate intrinsic diversity enhances neural population coding
- (2013) S. J. Tripathy et al. PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA
- Channel Noise from Both Slow Adaptation Currents and Fast Currents Is Required to Explain Spike-Response Variability in a Sensory Neuron
- (2012) K. Fisch et al. JOURNAL OF NEUROSCIENCE
- Slow dynamics and high variability in balanced cortical networks with clustered connections
- (2012) Ashok Litwin-Kumar et al. NATURE NEUROSCIENCE
- Optimal Heterogeneity for Coding in Spiking Neural Networks
- (2012) J. F. Mejias et al. PHYSICAL REVIEW LETTERS
- The benefits of noise in neural systems: bridging theory and experiment
- (2011) Mark D. McDonnell et al. NATURE REVIEWS NEUROSCIENCE
- Rate response of neurons subject to fast or frozen noise: From stochastic and homogeneous to deterministic and heterogeneous populations
- (2011) Azadeh Khajeh Alijani et al. PHYSICAL REVIEW E
- Suprathreshold stochastic resonance in neural processing tuned by correlation
- (2011) Simon Durrant et al. PHYSICAL REVIEW E
- From Spiking Neuron Models to Linear-Nonlinear Models
- (2011) Srdjan Ostojic et al. PLoS Computational Biology
- Enhanced information transmission with signal dependent noise in an array of LIF neurons
- (2010) A. Nikitin et al. European Physical Journal-Special Topics
- Modulation of Firing Rate by Background Synaptic Noise Statistics in Rat Visual Cortical Neurons
- (2010) Michael P. Sceniak et al. JOURNAL OF NEUROPHYSIOLOGY
- Neural Heterogeneity and Efficient Population Codes for Communication Signals
- (2010) Gary Marsat et al. JOURNAL OF NEUROPHYSIOLOGY
- Efficient Encoding of Vocalizations in the Auditory Midbrain
- (2010) L. A. Holmstrom et al. JOURNAL OF NEUROSCIENCE
- Intrinsic biophysical diversity decorrelates neuronal firing while increasing information content
- (2010) Krishnan Padmanabhan et al. NATURE NEUROSCIENCE
- Neural Activity in Barrel Cortex Underlying Vibrissa-Based Object Localization in Mice
- (2010) Daniel H. O'Connor et al. NEURON
- Collective oscillations in disordered neural networks
- (2010) Simona Olmi et al. PHYSICAL REVIEW E
- Receptive field organization across multiple electrosensory maps. I. Columnar organization and estimation of receptive field size
- (2009) Leonard Maler JOURNAL OF COMPARATIVE NEUROLOGY
- How Connectivity, Background Activity, and Synaptic Properties Shape the Cross-Correlation between Spike Trains
- (2009) S. Ostojic et al. JOURNAL OF NEUROSCIENCE
- Suprathreshold stochastic resonance induced by ion channel fluctuation
- (2009) Go Ashida et al. PHYSICA D-NONLINEAR PHENOMENA
- Comparative study of different integrate-and-fire neurons: Spontaneous activity, dynamical response, and stimulus-induced correlation
- (2009) Rafael D. Vilela et al. PHYSICAL REVIEW E
- Synchronization properties of networks of electrically coupled neurons in the presence of noise and heterogeneities
- (2008) Srdjan Ostojic et al. JOURNAL OF COMPUTATIONAL NEUROSCIENCE
- The Neural Basis for Combinatorial Coding in a Cortical Population Response
- (2008) L. C. Osborne et al. JOURNAL OF NEUROSCIENCE
- Are the input parameters of white noise driven integrate and fire neurons uniquely determined by rate and CV?
- (2008) Rafael D. Vilela et al. JOURNAL OF THEORETICAL BIOLOGY
- Efficient coding in heterogeneous neuronal populations
- (2008) M. I. Chelaru et al. PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA
- Sparse Representation of Sounds in the Unanesthetized Auditory Cortex
- (2008) Tomáš Hromádka et al. PLOS BIOLOGY
- Enhanced coding for exponentially distributed signals using suprathreshold stochastic resonance
- (2007) Aruneema Das et al. Communications in Nonlinear Science and Numerical Simulation
Publish scientific posters with Peeref
Peeref publishes scientific posters from all research disciplines. Our Diamond Open Access policy means free access to content and no publication fees for authors.
Learn MoreAdd your recorded webinar
Do you already have a recorded webinar? Grow your audience and get more views by easily listing your recording on Peeref.
Upload Now