Computational Neuroscience (Preprints)

Computation neuroscience employs models, statistics, simulations, and theoretical analyses to understand mechanisms that govern neural functions. Here are the latest preprints in this domain.

December 31, 2019
PreprintOpen Access

Ancestral neural computations constrain the evolution of novel computations in simulated color vision networks

Nathan P. Buerkle, Stephanie E. Palmer
February 28, 2020
PreprintOpen Access

Learning prediction error neurons in a canonical interneuron circuit

Loreen Hertäg, Henning Sprekeler
November 27, 2019
PreprintOpen Access

Behavioral signatures of a developing neural code

Lilach AvitanGeoffrey Goodhill
January 31, 2020
PreprintOpen Access

Fitting drift-diffusion decision models to trial-by-trial data

Quentin Feltgen, Jean Daunizeau
October 9, 2019
PreprintOpen Access

Imprecise neural computations as source of human adaptive behavior in volatile environments

Charles FindlingEtienne Koechlin
February 14, 2020
PreprintOpen Access

Deficits in Behavioral and Neuronal Pattern Separation in Temporal Lobe Epilepsy

Antoine D MadarMathew V Jones
November 7, 2019
PreprintOpen Access

A minimal synaptic model for direction selective neurons in Drosophila

Jacob Zavatone-VethDamon Clark
December 30, 2019
PreprintOpen Access

Meta-Learning Biologically Plausible Semi-Supervised Update Rules

Keren GuJascha Sohl-Dickstein
January 17, 2020
PreprintOpen Access

Dynamic core-periphery structure of information sharing networks in entorhinal cortex and hippocampus

Nicola PedreschiDemian Battaglia
October 10, 2019
PreprintOpen Access

Adaptive time scales in recurrent neural networks

Silvan Christian QuaxMarcel A.J. van Gerven
January 2, 2020
PreprintOpen Access

Associative Learning and Motivation Differentially Requires Neuroligin-1 at Excitatory Synapses

Jiaqi LuoJess Nithianantharajah
October 4, 2019
PreprintOpen Access

Theory of neural coding predicts an upper bound on estimates of memory variability

Robert Taylor, Paul Bays
January 9, 2020
PreprintOpen Access

The neural computations for stimulus presence and modal identity diverge along a shared circuit

David A. TovarMark T. Wallace
September 19, 2019
PreprintOpen Access

Adaptive Tuning Curve Widths Improve Sample Efficient Learning

Florian MeierAngelik Steger

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