Implications of Neuronal Diversity on Population Coding
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Publication:5423502
DOI10.1162/neco.2006.18.8.1951zbMath1121.92016OpenAlexW2068516834WikidataQ48498276 ScholiaQ48498276MaRDI QIDQ5423502
Publication date: 23 October 2007
Published in: Neural Computation (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1162/neco.2006.18.8.1951
Applications of statistics to biology and medical sciences; meta analysis (62P10) Neural biology (92C20)
Related Items (20)
Variable synaptic strengths controls the firing rate distribution in feedforward neural networks ⋮ Coding of time-dependent stimuli in homogeneous and heterogeneous neural populations ⋮ Heterogeneity in Neuronal Dynamics Is Learned by Gradient Descent for Temporal Processing Tasks ⋮ Firing rate dynamics in recurrent spiking neural networks with intrinsic and network heterogeneity ⋮ Heterogeneous Synaptic Weighting Improves Neural Coding in the Presence of Common Noise ⋮ Visual Decisions in the Presence of Measurement and Stimulus Correlations ⋮ Noise-Robust Modes of the Retinal Population Code Have the Geometry of “Ridges” and Correspond to Neuronal Communities ⋮ The Competing Benefits of Noise and Heterogeneity in Neural Coding ⋮ Unconscious Biases in Neural Populations Coding Multiple Stimuli ⋮ Efficient Sensory Encoding and Bayesian Inference with Heterogeneous Neural Populations ⋮ Investigating the correlation-firing rate relationship in heterogeneous recurrent networks ⋮ Estimating Fisher discriminant error in a linear integrator model of neural population activity ⋮ Functional Diversity in the Retina Improves the Population Code ⋮ Stimulus-Dependent Correlations and Population Codes ⋮ Unnamed Item ⋮ Is the Homunculus “Aware” of Sensory Adaptation? ⋮ The Scaling of Winner-Takes-All Accuracy with Population Size ⋮ Statistical Analysis of Decoding Performances of Diverse Populations of Neurons ⋮ Firing rate distributions in a feedforward network of neural oscillators with intrinsic and network heterogeneity ⋮ An application of fuzzy logic reasoning for GIS temporal modeling of dynamic processes
Cites Work
- Information processing in a neuron ensemble with the multiplicative correlation structure
- Vector reconstruction from firing rates
- On stochastic dynamics of supervised learning
- Population Coding and Decoding in a Neural Field: A Computational Study
- Stochastic dynamics of supervised learning
- Nonlinear Population Codes
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