Multiscale modeling meets machine learning: What can we learn?
Abstract Machine learning is increasingly recognized as a promising technology in the
biological, biomedical, and behavioral sciences. There can be no argument that this …
biological, biomedical, and behavioral sciences. There can be no argument that this …
[HTML][HTML] Active dendrites and local field potentials: biophysical mechanisms and computational explorations
Neurons and glial cells are endowed with membranes that express a rich repertoire of ion
channels, transporters, and receptors. The constant flux of ions across the neuronal and glial …
channels, transporters, and receptors. The constant flux of ions across the neuronal and glial …
NetPyNE, a tool for data-driven multiscale modeling of brain circuits
Biophysical modeling of neuronal networks helps to integrate and interpret rapidly growing
and disparate experimental datasets at multiple scales. The NetPyNE tool (www. netpyne …
and disparate experimental datasets at multiple scales. The NetPyNE tool (www. netpyne …
Systematic generation of biophysically detailed models for diverse cortical neuron types
NW Gouwens, J Berg, D Feng, SA Sorensen… - Nature …, 2018 - nature.com
The cellular components of mammalian neocortical circuits are diverse, and capturing this
diversity in computational models is challenging. Here we report an approach for generating …
diversity in computational models is challenging. Here we report an approach for generating …
The physiological variability of channel density in hippocampal CA1 pyramidal cells and interneurons explored using a unified data-driven modeling workflow
Every neuron is part of a network, exerting its function by transforming multiple
spatiotemporal synaptic input patterns into a single spiking output. This function is specified …
spatiotemporal synaptic input patterns into a single spiking output. This function is specified …
Data-driven multiscale model of macaque auditory thalamocortical circuits reproduces in vivo dynamics
We developed a detailed model of macaque auditory thalamocortical circuits, including
primary auditory cortex (A1), medial geniculate body (MGB), and thalamic reticular nucleus …
primary auditory cortex (A1), medial geniculate body (MGB), and thalamic reticular nucleus …
Large-Scale Mechanistic Models of Brain Circuits with Biophysically and Morphologically Detailed Neurons
Understanding the brain requires studying its multiscale interactions from molecules to
networks. The increasing availability of large-scale datasets detailing brain circuit …
networks. The increasing availability of large-scale datasets detailing brain circuit …
Multiscale computer model of the spinal dorsal horn reveals changes in network processing associated with chronic pain
Pain-related sensory input is processed in the spinal dorsal horn (SDH) before being
relayed to the brain. That processing profoundly influences whether stimuli are correctly or …
relayed to the brain. That processing profoundly influences whether stimuli are correctly or …
Pareto optimality, economy–effectiveness trade-offs and ion channel degeneracy: improving population modelling for single neurons
Neurons encounter unavoidable evolutionary trade-offs between multiple tasks. They must
consume as little energy as possible while effectively fulfilling their functions. Cells …
consume as little energy as possible while effectively fulfilling their functions. Cells …
Experimentally-constrained biophysical models of tonic and burst firing modes in thalamocortical neurons
E Iavarone, J Yi, Y Shi, BJ Zandt, C O'reilly… - PLoS computational …, 2019 - journals.plos.org
Somatosensory thalamocortical (TC) neurons from the ventrobasal (VB) thalamus are
central components in the flow of sensory information between the periphery and the …
central components in the flow of sensory information between the periphery and the …