Cover Image

Deep learning in a bilateral brain with hemispheric specialization

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Rajagopalan, Chandramouli, Rawlinson, David, Goldberg, Elkhonon, Kowadlo, Gideon
Format:	Preprint
Published:	2022
Subjects:	Neurons and Cognition Artificial Intelligence Machine Learning Neural and Evolutionary Computing I.2.6; I.5.0; I.5.1
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Expanding continual few-shot learning benchmarks to include recognition of specific instances
by: Kowadlo, Gideon, et al.
Published: (2022)

Dissecting Larval Zebrafish Hunting using Deep Reinforcement Learning Trained RNN Agents
by: Malik, Raaghav, et al.
Published: (2025)

Augmenting Replay in World Models for Continual Reinforcement Learning
by: Yang, Luke, et al.
Published: (2024)

Persistent Memory Through Triple-Loop Consolidation in a Non-Gradient Dissipative Cognitive Architecture
by: Lou, Jianwei
Published: (2026)

Pendulum Model of Spiking Neurons
by: Bose, Joy
Published: (2025)

From Basic Affordances to Symbolic Thought: A Computational Phylogenesis of Biological Intelligence
by: Hummel, John E., et al.
Published: (2025)

Left/Right Brain, human motor control and the implications for robotics
by: Rinaldo, Jarrad, et al.
Published: (2024)

Enhanced Protein Intrinsic Disorder Prediction Through Dual-View Multiscale Features and Multi-objective Evolutionary Algorithm
by: Wang, Shaokuan, et al.
Published: (2026)

Cognitive Modelling Aspects of Neurodevelopmental Disorders Using Standard and Oscillating Neighbourhood SOM Neural Networks
by: Revithis, Spyridon, et al.
Published: (2025)

Vector Symbolic Architectures answer Jackendoff's challenges for cognitive neuroscience
by: Gayler, Ross W.
Published: (2004)

The GAIN Model: A Nature-Inspired Neural Network Framework Based on an Adaptation of the Izhikevich Model
by: Hooper, Gage K. R.
Published: (2025)

Theoretical Analysis of the Advantage of Deepening Neural Networks
by: Esaki, Yasushi, et al.
Published: (2020)

Alljoined1 -- A dataset for EEG-to-Image decoding
by: Xu, Jonathan, et al.
Published: (2024)

The Coordinate System Problem in Persistent Structural Memory for Neural Architectures
by: Basu, Abhinaba
Published: (2026)

Geometric Neural Network based on Phase Space for BCI-EEG decoding
by: Carrara, Igor, et al.
Published: (2024)

CytoNet: A Foundation Model for the Human Cerebral Cortex at Cellular Resolution
by: Schiffer, Christian, et al.
Published: (2025)

K-Way Energy Probes for Metacognition Reduce to Softmax in Discriminative Predictive Coding Networks
by: Cacioli, Jon-Paul
Published: (2026)

Collapse or Preserve: Data-Dependent Temporal Aggregation for Spiking Neural Network Acceleration
by: Qin, Jiahao
Published: (2026)

Deep Convolutional Autoencoder for Assessment of Drive-Cycle Anomalies in Connected Vehicle Sensor Data
by: Geglio, Anthony, et al.
Published: (2022)

Spiking Neural Network Architecture Search: A Survey
by: Svoboda, Kama, et al.
Published: (2025)

Neural Attention: A Novel Mechanism for Enhanced Expressive Power in Transformer Models
by: DiGiugno, Andrew, et al.
Published: (2025)

Robust and Clinically Reliable EEG Biomarkers: A Cross Population Framework for Generalizable Parkinson's Disease Detection
by: Rasmussen, Nicholas R., et al.
Published: (2026)

Eventprop training for efficient neuromorphic applications
by: Shoesmith, Thomas, et al.
Published: (2025)

Asynchronous Stochastic Gradient Descent with Decoupled Backpropagation and Layer-Wise Updates
by: Fokam, Cabrel Teguemne, et al.
Published: (2024)

The Backpropagation Algorithm Implemented on Spiking Neuromorphic Hardware
by: Renner, Alpha, et al.
Published: (2021)

Dynamical Alignment: A Principle for Adaptive Neural Computation
by: Chen, Xia
Published: (2025)

Neuromorphic Parameter Estimation for Power Converter Health Monitoring Using Spiking Neural Networks
by: Baik, Hyeongmeen, et al.
Published: (2026)

Pulse-Driven Neural Architecture: Learnable Oscillatory Dynamics for Robust Continuous-Time Sequence Processing
by: Sharma, Paras
Published: (2026)

Tensor Logic: The Language of AI
by: Domingos, Pedro
Published: (2025)

Structural Plasticity as Active Inference: A Biologically-Inspired Architecture for Homeostatic Control
by: Hill, Brennen A.
Published: (2025)

The Parameters of Educability
by: Valiant, Leslie G.
Published: (2024)

Developing Convolutional Neural Networks using a Novel Lamarckian Co-Evolutionary Algorithm
by: Sharifi, Zaniar, et al.
Published: (2024)

BMR and BWR: Two simple metaphor-free optimization algorithms for solving real-life non-convex constrained and unconstrained problems
by: Rao, Ravipudi Venkata, et al.
Published: (2024)

Wolkowicz-Styan Upper Bound on the Hessian Eigenspectrum for Cross-Entropy Loss in Nonlinear Smooth Neural Networks
by: Omae, Yuto, et al.
Published: (2026)

A Self-Organizing Clustering System for Unsupervised Distribution Shift Detection
by: Basterrech, Sebastián, et al.
Published: (2024)

Examining Reject Relations in Stimulus Equivalence Simulations
by: Carrillo, Alexis, et al.
Published: (2025)

Neural Fields as World Models
by: Nunley, Joshua
Published: (2026)

On the Convergence and Stability of Upside-Down Reinforcement Learning, Goal-Conditioned Supervised Learning, and Online Decision Transformers
by: Štrupl, Miroslav, et al.
Published: (2025)

Self-Distillation Learning Based on Temporal-Spatial Consistency for Spiking Neural Networks
by: Zuo, Lin, et al.
Published: (2024)

Decoding Phone Pairs from MEG Signals Across Speech Modalities
by: de Zuazo, Xabier, et al.
Published: (2025)