Conductance-based dendrites perform reliability-weighted opinion pooling
Cue integration, the combination of different sources of information to reduce uncertainty, is a fundamental computational principle of brain function. Starting from a normative model we show that the dynamics of multi-compartment neurons with conductance-based dendrites naturally implement the required probabilistic computations. The associated error-driven plasticity rule allows neurons to learn the relative reliability of different pathways from data samples, approximating Bayes-optimal observers in multisensory integration tasks. Additionally, the model provides a functional interpretation of neural recordings from multisensory integration experiments and makes specific predictions for membrane potential and conductance dynamics of individual neurons.
Code (0)
등록된 구현이 없습니다.
Similar Papers 제목 키워드 기반
Conductance-based dendrites perform Bayes-optimal cue integration
A fundamental function of cortical circuits is the integration of information from different sources to form a reliable basis for behavior. While animals behave as if they optimally integrate information according to Bay…
Local Network Community Detection with Continuous Optimization of Conductance and Weighted Kernel K-Means
Local network community detection is the task of finding a single community of nodes concentrated around few given seed nodes in a localized way. Conductance is a popular objective function used in many algorithms for lo…
Community DetectionLocal Community DetectionA Bayesian Approach To Graph Partitioning
A new algorithm based on bayesian inference for learning local graph conductance based on Gaussian Process(GP) is given that uses advanced MCMC convergence ideas to create a scalable and fast algorithm for convergence to…
Bayesian Inferencegraph partitioningA Mixed-Signal Structured AdEx Neuron for Accelerated Neuromorphic Cores
Here we describe a multi-compartment neuron circuit based on the Adaptive-Exponential I&F (AdEx) model, developed for the second-generation BrainScaleS hardware. Based on an existing modular Leaky Integrate-and-Fire (LIF…
Do biological constraints impair dendritic computation?
Computations on the dendritic trees of neurons have important constraints. Voltage dependent conductances in dendrites are not similar to arbitrary direct-current generation, they are the basis for dendritic nonlineariti…