Computational implications of biophysical diversity and multiple timescales in neurons and synapses for circuit performance
Despite advances in experimental and theoretical neuroscience, we are still trying to identify
key biophysical details that are important for characterizing the operation of brain circuits …
key biophysical details that are important for characterizing the operation of brain circuits …
Is realistic neuronal modeling realistic?
M Almog, A Korngreen - Journal of neurophysiology, 2016 - journals.physiology.org
Scientific models are abstractions that aim to explain natural phenomena. A successful
model shows how a complex phenomenon arises from relatively simple principles while …
model shows how a complex phenomenon arises from relatively simple principles while …
Training deep neural density estimators to identify mechanistic models of neural dynamics
Mechanistic modeling in neuroscience aims to explain observed phenomena in terms of
underlying causes. However, determining which model parameters agree with complex and …
underlying causes. However, determining which model parameters agree with complex and …
Might a single neuron solve interesting machine learning problems through successive computations on its dendritic tree?
IS Jones, KP Kording - Neural Computation, 2021 - direct.mit.edu
Physiological experiments have highlighted how the dendrites of biological neurons can
nonlinearly process distributed synaptic inputs. However, it is unclear how aspects of a …
nonlinearly process distributed synaptic inputs. However, it is unclear how aspects of a …
Phase transitions and self-organized criticality in networks of stochastic spiking neurons
Phase transitions and critical behavior are crucial issues both in theoretical and
experimental neuroscience. We report analytic and computational results about phase …
experimental neuroscience. We report analytic and computational results about phase …
Theoretical relation between axon initial segment geometry and excitability
S Goethals, R Brette - Elife, 2020 - elifesciences.org
In most vertebrate neurons, action potentials are triggered at the distal end of the axon initial
segment (AIS). Both position and length of the AIS vary across and within neuron types, with …
segment (AIS). Both position and length of the AIS vary across and within neuron types, with …
Thinking about the action potential: the nerve signal as a window to the physical principles guiding neuronal excitability
B Drukarch, MMM Wilhelmus - Frontiers in cellular neuroscience, 2023 - frontiersin.org
Ever since the work of Edgar Adrian, the neuronal action potential has been considered as
an electric signal, modeled and interpreted using concepts and theories lent from electronic …
an electric signal, modeled and interpreted using concepts and theories lent from electronic …
Selective control of synaptic plasticity in heterogeneous networks through transcranial alternating current stimulation (tACS)
Transcranial alternating current stimulation (tACS) represents a promising non-invasive
treatment for an increasingly wide range of neurological and neuropsychiatric disorders. The …
treatment for an increasingly wide range of neurological and neuropsychiatric disorders. The …
[HTML][HTML] Models of stochastic spiking
Complexity and limited knowledge render it impractical to write down the equations
describing a cellular system completely. Cellular biophysics uses hypotheses-based …
describing a cellular system completely. Cellular biophysics uses hypotheses-based …
BiœmuS: A new tool for neurological disorders studies through real-time emulation and hybridization using biomimetic Spiking Neural Network
Abstract Characterization and modeling of biological neural networks has emerged as a
field driving significant advancements in our understanding of brain function and related …
field driving significant advancements in our understanding of brain function and related …