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08/15/2023
Brain-Inspired Computational Intelligence via Predictive Coding
Artificial intelligence (AI) is rapidly becoming one of the key technolo...
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05/11/2023
Backpropagation-Free 4D Continuous Ant-Based Neural Topology Search
Continuous Ant-based Topology Search (CANTS) is a previously introduced ...
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03/30/2023
Learning Spiking Neural Systems with the Event-Driven Forward-Forward Process
We develop a novel credit assignment algorithm for information processin...
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02/20/2023
Online Evolutionary Neural Architecture Search for Multivariate Non-Stationary Time Series Forecasting
Time series forecasting (TSF) is one of the most important tasks in data...
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01/04/2023
The Predictive Forward-Forward Algorithm
We propose the predictive forward-forward (PFF) algorithm for conducting...
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11/22/2022
Convolutional Neural Generative Coding: Scaling Predictive Coding to Natural Images
In this work, we develop convolutional neural generative coding (Conv-NG...
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11/16/2022
A Neural Active Inference Model of Perceptual-Motor Learning
The active inference framework (AIF) is a promising new computational fr...
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09/19/2022
Active Predicting Coding: Brain-Inspired Reinforcement Learning for Sparse Reward Robotic Control Problems
In this article, we propose a backpropagation-free approach to robotic c...
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03/31/2022
CogNGen: Constructing the Kernel of a Hyperdimensional Predictive Processing Cognitive Architecture
We present a new cognitive architecture that combines two neurobiologica...
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01/27/2022
Neural JPEG: End-to-End Image Compression Leveraging a Standard JPEG Encoder-Decoder
Recent advances in deep learning have led to superhuman performance acro...
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01/27/2022
An Empirical Analysis of Recurrent Learning Algorithms In Neural Lossy Image Compression Systems
Recent advances in deep learning have resulted in image compression algo...
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12/09/2021
Reducing Catastrophic Forgetting in Self Organizing Maps with Internally-Induced Generative Replay
A lifelong learning agent is able to continually learn from potentially ...
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09/10/2021
FBERT: A Neural Transformer for Identifying Offensive Content
Transformer-based models such as BERT, XLNET, and XLM-R have achieved st...
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05/15/2021
Towards a Predictive Processing Implementation of the Common Model of Cognition
In this article, we present a cognitive architecture that is built from ...
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04/07/2021
Recognizing and Verifying Mathematical Equations using Multiplicative Differential Neural Units
Automated mathematical reasoning is a challenging problem that requires ...
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12/07/2020
The Neural Coding Framework for Learning Generative Models
Neural generative models can be used to learn complex probability distri...
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11/21/2020
Continuous Ant-Based Neural Topology Search
This work introduces a novel, nature-inspired neural architecture search...
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02/10/2020
Reducing the Computational Burden of Deep Learning with Recursive Local Representation Alignment
Training deep neural networks on large-scale datasets requires significa...
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09/07/2019
The Neural State Pushdown Automata
In order to learn complex grammars, recurrent neural networks (RNNs) req...
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08/23/2019
Spiking Neural Predictive Coding for Continual Learning from Data Streams
For energy-efficient computation in specialized neuromorphic hardware, w...
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05/25/2019
Lifelong Neural Predictive Coding: Sparsity Yields Less Forgetting when Learning Cumulatively
In lifelong learning systems, especially those based on artificial neura...
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02/06/2019
Investigating Recurrent Neural Network Memory Structures using Neuro-Evolution
This paper presents a new algorithm, Evolutionary eXploration of Augment...
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02/06/2019
Investigating RNN Memory using Neuro-Evolution: Investigating Recurrent Neural Network Memory Structures using Neuro-Evolution
This paper presents a new algorithm, Evolutionary eXploration of Augment...
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10/17/2018
Online Learning of Recurrent Neural Architectures by Locally Aligning Distributed Representations
Temporal models based on recurrent neural networks have proven to be qui...
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10/17/2018
