Neural heterogeneity controls computations in spiking neural networks

兴奋性突触后电位 神经科学 神经计算模型 计算机科学 尖峰神经网络 网络动力学 生物神经网络 人工神经网络 人口 抑制性突触后电位 人工智能 生物系统 生物 数学 人口学 离散数学 社会学
作者
Richard Gast,Sara A. Solla,Ann Kennedy
出处
期刊:Proceedings of the National Academy of Sciences of the United States of America [Proceedings of the National Academy of Sciences]
卷期号:121 (3)
标识
DOI:10.1073/pnas.2311885121
摘要

The brain is composed of complex networks of interacting neurons that express considerable heterogeneity in their physiology and spiking characteristics. How does this neural heterogeneity influence macroscopic neural dynamics, and how might it contribute to neural computation? In this work, we use a mean-field model to investigate computation in heterogeneous neural networks, by studying how the heterogeneity of cell spiking thresholds affects three key computational functions of a neural population: the gating, encoding, and decoding of neural signals. Our results suggest that heterogeneity serves different computational functions in different cell types. In inhibitory interneurons, varying the degree of spike threshold heterogeneity allows them to gate the propagation of neural signals in a reciprocally coupled excitatory population. Whereas homogeneous interneurons impose synchronized dynamics that narrow the dynamic repertoire of the excitatory neurons, heterogeneous interneurons act as an inhibitory offset while preserving excitatory neuron function. Spike threshold heterogeneity also controls the entrainment properties of neural networks to periodic input, thus affecting the temporal gating of synaptic inputs. Among excitatory neurons, heterogeneity increases the dimensionality of neural dynamics, improving the network’s capacity to perform decoding tasks. Conversely, homogeneous networks suffer in their capacity for function generation, but excel at encoding signals via multistable dynamic regimes. Drawing from these findings, we propose intra-cell-type heterogeneity as a mechanism for sculpting the computational properties of local circuits of excitatory and inhibitory spiking neurons, permitting the same canonical microcircuit to be tuned for diverse computational tasks.
最长约 10秒,即可获得该文献文件

科研通智能强力驱动
Strongly Powered by AbleSci AI
更新
大幅提高文件上传限制,最高150M (2024-4-1)

科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
敏敏发布了新的文献求助10
1秒前
无限的宫苴完成签到 ,获得积分10
2秒前
笑了完成签到,获得积分10
4秒前
斯文败类应助kkkkkk采纳,获得10
6秒前
YYJ完成签到 ,获得积分10
7秒前
JamesPei应助ajy采纳,获得10
9秒前
12秒前
灰色娜娜完成签到,获得积分10
12秒前
14秒前
寂寞的白凡完成签到,获得积分10
17秒前
17秒前
19秒前
21秒前
clover发布了新的文献求助10
22秒前
lhanrich发布了新的文献求助10
23秒前
23秒前
英俊的铭应助高贵的往事采纳,获得10
24秒前
lili发布了新的文献求助30
25秒前
27秒前
27秒前
非常帅帅发布了新的文献求助10
27秒前
NexusExplorer应助哭泣的灵寒采纳,获得10
29秒前
luo发布了新的文献求助20
31秒前
qsg发布了新的文献求助10
32秒前
跌跌撞撞发布了新的文献求助10
33秒前
小蘑菇应助安详雅柏采纳,获得10
34秒前
田様应助qsg采纳,获得10
39秒前
王灿灿完成签到,获得积分10
40秒前
Joel完成签到 ,获得积分10
41秒前
44秒前
打打应助科研通管家采纳,获得10
50秒前
英姑应助科研通管家采纳,获得10
50秒前
ding应助科研通管家采纳,获得10
50秒前
benben应助科研通管家采纳,获得10
50秒前
benben应助科研通管家采纳,获得10
50秒前
wanci应助科研通管家采纳,获得10
50秒前
丘比特应助科研通管家采纳,获得10
51秒前
斯文败类应助科研通管家采纳,获得50
51秒前
benben应助科研通管家采纳,获得10
51秒前
51秒前
高分求助中
Teaching Social and Emotional Learning in Physical Education 900
Plesiosaur extinction cycles; events that mark the beginning, middle and end of the Cretaceous 800
Recherches Ethnographiques sue les Yao dans la Chine du Sud 500
Two-sample Mendelian randomization analysis reveals causal relationships between blood lipids and venous thromboembolism 500
Chinese-English Translation Lexicon Version 3.0 500
[Lambert-Eaton syndrome without calcium channel autoantibodies] 460
Wisdom, Gods and Literature Studies in Assyriology in Honour of W. G. Lambert 400
热门求助领域 (近24小时)
化学 材料科学 医学 生物 有机化学 工程类 生物化学 纳米技术 物理 内科学 计算机科学 化学工程 复合材料 遗传学 基因 物理化学 催化作用 电极 光电子学 量子力学
热门帖子
关注 科研通微信公众号,转发送积分 2394175
求助须知:如何正确求助?哪些是违规求助? 2097973
关于积分的说明 5286560
捐赠科研通 1825442
什么是DOI,文献DOI怎么找? 910174
版权声明 559960
科研通“疑难数据库(出版商)”最低求助积分说明 486453