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Mechanisms for Internal Models in a Cerebellum-like Circuit

类小脑回路中的内部模型机制

基本信息

批准号：
10633058
负责人：
Laurence F. Abbott
金额：
$ 53.37万
依托单位：
COLUMBIA UNIVERSITY HEALTH SCIENCES
依托单位国家：
美国
项目类别：
财政年份：
2021
资助国家：
美国
起止时间：
2021-06-01 至 2026-05-31
项目状态：
未结题

来源：
https://reporter.nih.gov/project-details/10633058
关键词：
Address Animals Axon Behavior Behavior monitoring Behavioral Biological Models Biophysics Brain Brain Stem Cells Cerebellum Complex Computer Models Data Dependence Electric Fish Electric Organ Electrodes Electrostatics Environment Feedback Fishes Foundations Goals Hippocampus Immobilization Investigation Learning Lobe Measures Methods Modeling Mormyridae Motor Movement Nature Neocortex Nervous System Nervous System Physiology Neuronal Plasticity Neurons Neurosciences Output Pattern Perception Physiologic pulse Posture Recurrence Resolution Schizophrenia Sensory Signal Transduction Spinal Cord Swimming Synaptic plasticity System Testing Theoretical model Work autism spectrum disorder cognitive function insight kinematics machine learning model neocortical nervous system disorder neural neural circuit neural correlate novel sensory input transmission process

项目摘要

Project Summary/Abstract Predicting the consequences of action is a vital function of the nervous system. The hypothesized neural substrate are so-called internal models that transform information about outgoing motor commands and the current sensory state into predictions of sensory input. Such internal models are likely critical for a wide range of sensory, motor, and cognitive functions and their disruption has been implicated in neurological disorders such as autism and schizophrenia. Nevertheless, it has proven challenging to understand how internal models are implemented in neural circuits in the mammalian brain. Our prior studies were successful in developing a detailed mechanistic understanding of how neurons in the electrosensory lobe (ELL) of mormyrid fish predict and cancel out the sensory consequences of a simple behavior--the electric organ discharge (EOD) pulse. However, because these studies were performed in immobilized animals, the nature of the predictions studied was limited in scope and complexity. This renewal uses novel methods for neural recording and high-resolution behavior monitoring in freely swimming fish to study the more complex internal models underlying the remarkable active electrolocation abilities of electric fish. Computational modeling approaches will be used both to rigorously define the problem facing the active electrosensory system and to generate and test realistic circuit-level models of how they may be solved. The key components of such models, including synaptic plasticity, recurrent and feedforward connectivity, and biophysical compartmentalization of axonal and dendritic spikes, are common to many neural systems including the cerebellum, hippocampus, and neocortex. Hence insights from these studies are expected to be widely relevant to understanding how internal models are implemented in neural systems.

项目总结/文摘

项目成果

期刊论文数量（12）

专著数量（0）

科研奖励数量（0）

会议论文数量（0）

专利数量（0）

A mechanism for differential control of axonal and dendritic spiking underlying learning in a cerebellum-like circuit

DOI：
10.1016/j.cub.2023.05.040
发表时间：
2023-07-10
期刊：
CURRENT BIOLOGY
影响因子：
9.2
作者：
Muller，Salomon Z.;Abbott，L. F.;Sawtell，Nathaniel B.
通讯作者：
Sawtell，Nathaniel B.

A Dense Conformal Electrode Array for High Spatial Resolution Stimulation of Electrosensory Systems

用于电传感系统高空间分辨率刺激的密集适形电极阵列

DOI：
10.1002/admt.202200354
发表时间：
2022
期刊：
Advanced Materials Technologies
影响因子：
6.8
作者：
Kumar, Vikrant;Yu, Caroline;McGinn, Christine K.;Perks, Krista E.;Thompson, Sarah M.;Sawtell, Nathaniel B.;Kymissis, Ioannis
通讯作者：
Kymissis, Ioannis