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Synaptic weight
The Synaptic Weight Matrix
Synaptic Plasticity in Correlated Balanced Networks
Energy Efficient Synaptic Plasticity Ho Ling Li1, Mark CW Van Rossum1,2*
Arxiv:2103.12649V1 [Q-Bio.NC] 23 Mar 2021
Improved Expressivity Through Dendritic Neural Networks
Synaptic Plasticity As Bayesian Inference
Mathematical Models of Dynamic Behavior of Individual Neural Networks of Central Nervous System Dimitra-Despoina Pagania, Adam Adamopoulos, Spiridon Likothanassis
Synaptic Mechanisms of Memory Consolidation During Sleep Slow Oscillations
Synaptic Weight Modulation and Adaptation Part I: Introduction and Presynaptic Mechanisms
A New Learning Method for Inference Accuracy, Core Occu- Pation, and Performance Co-Optimization on Truenorth Chip
Drawing Inspiration from Biological Dendrites to Empower Artificial
Effects of Synaptic Weight Diffusion on Learning in Decision Making Networks
Postsynaptic Potential Energy As Determinant of Synaptic Plasticity
Artificial Optic-Neural Synapse for Colored and Color-Mixed Pattern
Probing the Structure–Function Relationship with Neural Networks Constructed by Solving a System of Linear Equations Camilo J
The Function of Dendritic Spines: Devices Subserving Biochemical Rather Than Electrical Compartmentalization
Dendrites Decrease the Synaptic Weight Resolution Necessary to Compute
Effects of Synaptic and Myelin Plasticity on Learning in a Network of Kuramoto Phase Oscillators
Top View
Synaptic Plasticity: Taming the Beast
Flexible Degrees of Connectivity Under Synaptic Weight Constraints
MF Theory of a Plastic Network of IF Neurons
What Can We Learn from Synaptic Weight Distributions?
Hebbian Plasticity Requires Compensatory Processes on Multiple Timescales
Similarity Measures for Learning in Lattice Based Biomimetic Neural Networks
Dendrites Decrease the Synaptic Weight Resolution Necessary to Implement Linearly Separable Computations
Activity-Dependent Myelination: a Glial Mechanism of Oscillatory Self-Organization in Large-Scale Brain Networks
Analysis of Synaptic Weight Distribution in an Izhikevich Network
Hebbian Learning and Plasticity Experiences Change the Way We Perceive, Perform, Think and Plan. They Do So Physically by Changi
Corrigendum: Myelination Increases the Spatial Extent of Analog-Digital Modulation of Synaptic Transmission: a Modeling Study Mickaël Zbili, Dominique Debanne
Formation of Temporal-Feature Maps by Axonal Propagation of Synaptic Learning
The Predictive Brain: Temporal Terrence J
Synaptic Weight Modulation and Adaptation Part II: Postsynaptic Mechanisms
Modeling Maintenance of Long-Term Potentiation in Clustered Synapses – Long-Term Memory Without Bistability
Eligibility Traces and Plasticity on Behavioral Time Scales: Experimental Support of Neohebbian Three-Factor Learning Rules
Adaptive Myelination and Its Synchronous Dynamics in the Kuramoto Network Model with State-Dependent Delays by Seong Hyun Park A
Is a 4-Bit Synaptic Weight Resolution Enough?
Heterosynaptic Plasticity Prevents Runaway Synaptic Dynamics