• Biologically plausible learning in recurrent neural networks ...🔍
• Biologically plausible learning in recurrent neural networks🔍
• How Initial Connectivity Shapes Biologically Plausible Learning in ...🔍
• Are recurrent neural networks 🔍
• Biologically plausible gated recurrent neural networks for working ...🔍
• Training biologically plausible recurrent neural networks on...🔍
• [PDF] Biologically plausible learning in recurrent neural networks for ...🔍
• Training biologically plausible recurrent neural networks ...🔍

Biologically plausible learning in recurrent neural networks ... - eLife

A biologically plausible learning rule allows recurrent neural networks to learn nontrivial tasks, using only sparse, delayed rewards, ...

Biologically plausible learning in recurrent neural networks ...

We conclude that recurrent neural networks offer a plausible model of cortical dynamics during both learning and performance of flexible behavior.

Biologically plausible learning in recurrent neural networks ...

Here we show that a biologically plausible learning rule can train such recurrent networks, guided solely by delayed, phasic rewards at the end of each trial.

Biologically plausible learning in recurrent neural networks

We conclude that recurrent neural networks can offer a plausible model of cortical dynamics during both learning and performance of flexible behavior.

How Initial Connectivity Shapes Biologically Plausible Learning in ...

Focusing on recurrent neural networks (RNNs), we found that the initial weight magnitude significantly influences the learning performance of ...

Are recurrent neural networks (RNN) biologically plausible? - Quora

If fact, I think layers in deep learning are more like regions within the neocortex. As such, recurrent neural networks are approximating the ...

Biologically plausible gated recurrent neural networks for working ...

Here, we propose a novel gated recurrent network named RECOLLECT, which can flexibly retain or forget information by means of a single memory ...

(PDF) Biologically plausible learning in recurrent neural networks ...

Biologically plausible learning in recurrent neural networks reproduces neural dynamics observed during cognitive tasks ... Preprints and early-stage research may ...

Training biologically plausible recurrent neural networks on...

Training recurrent neural networks (RNNs) has become a go-to approach for generating and evaluating mechanistic neural hypotheses for cognition.

[PDF] Biologically plausible learning in recurrent neural networks for ...

A biologically plausible learning rule is introduced that can train recurrent neural networks, guided solely by delayed, phasic rewards at the end of each ...

Training biologically plausible recurrent neural networks ... - bioRxiv

Our methods expand the range of experimental tasks that biologically plausible RNN models can learn, thereby supporting the development of ...

Biologically plausible models of cognitive flexibility: merging ...

We first described the so-called recurrent neural network (RNN) models: simplified neural networks typically describing local computations associated with ...

Learning in Biologically Plausible Neural Networks

more biologically plausible and energy-efficient. Deep neural network success can be attributed to advancements in hardware and learning approaches based on ...

Towards biologically plausible model-based reinforcement learning ...

We propose a two-module (agent and model) spiking neural network in which “dreaming” (living new experiences in a model-based simulated environment) ...

Training biologically plausible recurrent neural networks on ...

The ease and efficiency of training RNNs with backpropagation through time and the availabil- ity of robustly supported deep learning libraries has made RNN ...

Meta-learning biologically plausible plasticity rules with random ...

Backpropagation is widely used to train artificial neural networks, but its relationship to synaptic plasticity in the brain is unknown.

Biologically plausible learning in recurrent neural networks ... - EBSCO

Biologically plausible learning in recurrent neural networks reproduces neural dynamics observed during cognitive tasks. Authors. Miconi, Thomas. Publication ...

Training biologically plausible recurrent neural networks on ...

The ease and efficiency of training RNNs with backpropagation through time and the availabil- ity of robustly supported deep learning libraries ...

Towards biologically plausible learning in neural networks

Abstract: Artificial neural networks are inspired by information processing performed by neural circuits in biology. While existing models are sufficient to ...

Biologically Plausible Learning Algorithm for Recurrent Neural ...

(1986)), whose efforts focused on the role of stochastic and highly parallelized information processing within biological neural networks based on a strong ...