Neural Circuits

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4 papers in the last four weeks, up 33% on the four weeks before. 0.0% of all new papers.

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Latest papers 36

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Not all solutions are created equal: An analytical dissociation of functional and representational similarity in deep linear neural networks
Sep 30, 2026Lukas Braun, Erin Grant, Andrew M. SaxeNeural Circuits Neural Representations
Department of Experimental Psychology, University of Oxford, Oxford, UK · Gatsby Unit & Sainsbury Wellcome Centre, University College London, London, UK
How much of fly walking is written in the wiring?
Sep 29, 2026Isabel Guan, Yuntian Zhao, Dingyuan Zhang +2Neural Circuits Neurons
The Hong Kong University of Science and Technology · ZENBOT · Nanyang Technological University +1
A discrete generative model of neuronal spiking activity on microelectrode arrays
Sep 20, 2026Md Sayed Tanveer, Mohammed A. Mostajo-Radji, Ge WangNeural Circuits Time-To-First-Spike
Department of Biomedical Engineering, Rensselaer Polytechnic Institute, Troy, NY, USA · Center for Biotechnology and Interdisciplinary Studies, Rensselaer Polytechnic Institute · Genomics Institute, University of California Santa Cruz, Santa Cruz, CA 95064, USA
Self-Replicating Neural Cellular Automata: Quantifying Emergent Phenotypic and Genotypic Diversity in an OpenEnded Substrate
Sep 17, 2026Sanyam Jain, Felix Simon Reimers, Stefano NicheleNeural Cellular Automata Self-Organization
Department of Computer Science and Communication, Østfold University of Applied Sciences, B R A veien 4, 1757 Halden, Norway · Department of Computer Science, Oslo Metropolitan University, Pilestredet 35, 0166 Oslo, Norway
Scaled Hippocampus-inspired Neural Networks on Neuromorphic Memristive Hardware
Sep 14, 2026Joseph A. Kilgore, Jeffrey D. Kopsick, Zahin Ahmed +2Neuromorphic Computing Reram Crossbar
Department of Electrical and Computer Engineering, George Washington University, Washington, 20052, USA · Center for Neural Informatics, Structures, & Plasticity, George Mason University, Fairfax, 22030, USA
"More Is Different'' in Neural Circuits: Algebraic Emergence of Effective Theories in Canonical Recurrent Motifs of Biological Neuronal Networks
Aug 31, 2026Nima DehghaniNeural Circuits Neurons
McGovern Institute for Brain Research, Massachusetts Institute of Technology, Cambridge, Massachusetts, USA · The NSF AI Institute for Artificial Intelligence and Fundamental Interactions (IAIFI), Cambridge, Massachusetts, USAa)
The Neural Division of Labor: Biologically-Inspired Modular Architectures for Robust Neuromorphic Computing
Aug 8, 2026Maksim Bazhenov, Serafim Grubas, Vakhtang PutkaradzeSpiking Neural Networks Neuromorphic Computing
Department of Medicine, University of California San Diego, La Jolla, CA 92093, USA · Department of Physics, University of Alberta, Edmonton, AB T6G 2G1, Canada · Department of Mathematical and Statistical Sciences, University of Alberta, Edmonton, AB T6G 2G1, Canada +1
High-Capacity Generalized Hopfield Networks
Aug 8, 2026Victor GalitskiHopfield Networks Neural Circuits
Joint Quantum Institute, Department of Physics, University of Maryland, College Park, MD 20742, USA
Learning in Deep Networks under Dale's Constraint
Aug 7, 2026Roy Abel, Shimon UllmanNeural Circuits Neurons
Weizmann Institute of Science
Interpretable MEG Decoding of Perceived Speech: Cortical Sources and the Stimulus Features That Drive Retrieval
Aug 2, 2026Ilia Semenkov, Daria Kleeva, Ivan Dakhtin +2Wav2Vec Human Visual Cortex
AXXX, Moscow, Russia · HSE University, Moscow, Russia · ITMO University, St. Petersburg, Russia
Stimulus-Evoked Network Dynamics in Human Cortical Organoids: From a Graph-Computational Framework to Repeated-Stimulation Depression
Jul 30, 2026Esmaeil S. Nadimi, Vinay C. Gogineni, Jan-Matthias Braun +3Neural Circuits Network Science
Applied AI and Data Science Unit, Maersk Mc-Kinney Moller Institute, Faculty of Engineering, University of Southern Denmark · Biomedical Mass Spectrometry and System Biology Unit, Department of Biochemistry and Molecular Biology, Faculty of Science, University of Southern Denmark
From Observation to Intervention: Memory in Brains and Large Language Models
Jul 27, 2026Morteza Salehjahromi, Shayan A. Zadegan, Amgad Muneer +1Large Language Model Memory Episodic Memory
Department of Imaging Physics, The University of Texas MD Anderson Cancer Center, Houston, TX, USA · Department of Neurology, The University of Tennessee Health Science Center, Memphis, TN, USA · Department of Thoracic/Head and Neck Medical Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA +1
Neural Circuit Function Inference with LLMs
Jul 27, 2026Yijie Yin, Albert CardonaNeural Circuits Connectome
Department of Physiology, Development and Neuroscience, University of Cambridge, Cambridge, UK · MRC Laboratory of Molecular Biology, Cambridge, UK
Grounded world models in biological organisms and future embodied AI
Jul 15, 2026Giovanni Pezzulo, Davide Nuzzi, Marco D'Alessandro +3Embodied Artificial Intelligence World Models
Institute of Cognitive Sciences and Technologies, National Research Council, Rome, Italy · Center for Mind and Brain Science (CIMeC), University of Trento, Italy · Department of Neuroscience, University of Montreal, Montreal, Quebec, Canada
Emergent Generalization by Representation Learning in Artificial Neural Networks
Jul 11, 2026Hardik Rajpal, Dan GoodmanNeural Circuits Neural Network
1I-X Centre for AI in Science, Imperial College London, W12 0BZ, UK · Department of Electrical and Electronic Engineering, Imperial College London, SW7 2AZ, UK
When Do Geometric Algebra Layers Beat Scalarization? A Controlled Study on SO(3)-Equivariant Vector Laws
Jul 7, 2026Fabien PollyLie Group Equivariance
Observable- and Positional-Encoding-Dependent Symmetry Readout from Neural Network Weights
Jul 3, 2026Naoya Chiba, Satoshi Sugiyama, Yuki UranishiSymmetry Model Weights
D3 Center, The Unversity of Osaka
Geometric Reliability of Neural Population Codes: Sampling Calibration and Within-Session Nonstationarity
Jun 28, 2026Prashant C. RajuNeural Circuits Relevance
Spatial Partial Functionalization of Neural Networks based on Noise Fields
Jun 23, 2026Shuhei Ikemoto, Fabio DallaLiberaNeural Circuits Neural Network
Graduate School of Life Science and Systems Engineering, Kyushu Institute of Technology, 2-4 Hibikino, Wakamatsu, Kitakyushu, Fukuoka, 8080196, Japan · Graduate School of Engineering Science, Osaka University, 1-3 Machikaneyama, Toyonaka, Osaka, Japan
Identifying structural design principles shaping the computational abilities of recurrent neural networks
Jun 22, 2026Tom Talpir, Elad SchneidmanNeural Circuits Recurrent Neural Networks
Department of Brain Sciences, Weizmann Institute of Science, Rehovot, Israel
AI Engram: In Search of Memory Traces in Artificial Intelligence
Jun 12, 2026Jea Kwon, Dong-Kyum Kim, Jiwon Kim +3Dense Associative Memory Neural Circuits
Max Planck Institute for Security and Privacy (MPI-SP), Bochum, Germany · Seoul National University (SNU), Seoul, Korea · KAIST, Daejeon, Korea
Harnessing cortical geometry, wiring, and function as inductive biases for recurrent neural networks
Jun 12, 2026Mo Shakiba, Rana Rokni, Mohammad Mohammadi +1Neural Circuits Human Visual Cortex
Neuromatch Academy, Neuromatch, Inc., USA · McGovern Institute for Brain Research, Massachusetts Institute of Technology (MIT)
Hyperbolic Neural Population Geometry Benefits Computation
Jun 8, 2026Dennis Wu, Yi-Chun Hung, Braden Yuille +2Hopfield Networks Neural Circuits
Department of Computer Science, Northwestern University · Center for Foundation Models and Generative AI, Northwestern University · Integrated Science Program, Northwestern University +3
Discovering and decoding latent mean-field structure with variational autoencoders
Jun 7, 2026Marco Biroli, Max Welling, Vincenzo VitelliConditional Variational Autoencoder Mean-Field Limit
Department of Physics and the James Franck Institute, University of Chicago, Chicago, IL, USA · CuspAI, Cambridge, England · AMLab, University of Amsterdam, Amsterdam, Netherlands +1
Many Circuits, One Mechanism: Input Variation and Evaluation Granularity in Circuit Discovery
Jun 4, 2026Alireza Bayat Makou, Jingcheng Niu, Subhabrata Dutta +1Circuits Neural Circuits
UKP Lab, Technical University of Darmstadt · National Research Center for Applied Cybersecurity ATHENE
CSP-Atlas: Concept-Specific Neural Circuits in a Sparse Python Transformer
May 23, 2026Piotr WilamCircuits Syntax
University College London
Rare Events, Real Signals: Functional Ensembles as Units of Computation in Deep Spiking Networks
May 21, 2026Aditi Aravind, Konstantinos Ladakis, Mario Alexios Savaglio +2Spiking Neural Networks Functional Connectivity
University of Crete, Greece · 2Foundation of Research & Technology - Hellas (FORTH), Greece · 4Harvard Medical School, USA +2
Stimulus symmetries can confound representational similarity analyses
May 20, 2026Farhad Pashakhanloo, Jacob A. Zavatone-VethRepresentational Similarity Analysis Symmetry
Center for Brain Science and 2Society of Fellows Harvard University, Cambridge, MA, USA
From Circuit Evidence to Mechanistic Theory: An Inductive Logic Approach
May 20, 2026Nura Aljaafari, Danilo S. Carvalho, Andre FreitasMechanistic Interpretability Circuits
Department of Computer Science, University of Manchester, United Kingdom · CRUK National Biomarker Centre, University of Manchester, United Kingdom · Idiap Research Institute, Switzerland
Scaling Laws and Tradeoffs in Recurrent Networks of Expressive Neurons
May 12, 2026Aaron Spieler, Georg Martius, Anna LevinaNeural Circuits Recurrent Neural Networks
University of Tübingen, Germany · Max Planck Institute for Intelligent Systems, Tübingen, Germany · Max Planck Institute for Biological Cybernetics, Tübingen, Germany
Learning Hippo: Multi-attractor Dynamics and Stability Effects in a Biologically Detailed CA3 Extension of Hopfield Networks
Apr 22, 2026Daniele Corradetti, Renato CorradettiHopfield Networks Dense Associative Memory
Grupo de Física Matemática Instituto Superior Técnico Av. Rovisco Pais, 1049-001 Lisboa, Portugal · Dipartimento di Neuroscienze, Psicologia, Area del Farmaco e Salute del Bambino (NEUROFARBA) Università di Firenze, Italy22
The Umwelt Representation Hypothesis: Rethinking Universality
Apr 20, 2026Victoria Bosch, Rowan Sommers, Adrien Doerig +1Unified Representation Neural Circuits
Institute of Cognitive Science, University of Osnabrück, Osnabrück, Germany. · Department of Psychology and Education, Freie Universität Berlin, Berlin, Germany. · Bernstein Center for Computational Neuroscience, Berlin, Germany
Structure as Computation: Developmental Generation of Minimal Neural Circuits
Apr 16, 2026Duan ZhouNeural Circuits Developmental Trajectories
Independent Researcher
Random matrix theory of sparse neuronal networks with heterogeneous timescales
Dec 14, 2025Thiparat Chotibut, Oleg Evnin, Weerawit HorinouchiNeural Circuits Synaptic Plasticity
Chula Intelligent and Complex Systems, Department of Physics, Faculty of Science, Chulalongkorn University, Bangkok, Thailand · High Energy Physics Research Unit, Faculty of Science, Chulalongkorn University, Bangkok, Thailand · Theoretische Natuurkunde, Vrije Universiteit Brussel (VUB) and International Solvay Institutes, Brussels, Belgium +2
Dynamical stability for dense patterns in attractor neural networks
Jul 14, 2025Uri Cohen, Máté LengyelNeural Circuits Attractors
Computational and Biological Learning Lab, Department of Engineering, University of Cambridge, Cambridge, UK · Center for Cognitive Computation, Department of Cognitive Science, Central European University, Budapest, Hungary
A foundation model with multi-variate parallel attention to generate neuronal activity
Jun 25, 2025Francesco Carzaniga, Michael Hersche, Abu Sebastian +2Multivariate Time-Series Temporal Attention
IBM Research – Zurich, Rüschlikon, Switzerland · Department of Neurology, Inselspital, Sleep-Wake-Epilepsy-Center, Bern University Hospital, Bern University, Bern, Switzerland

Sep 30, 2026, cs.LGJ/K move · Enter open · S save

Not all solutions are created equal: An analytical dissociation of functional and representational similarity in deep linear neural networks

Lukas Braun, Erin Grant, Andrew M. Saxe

Department of Experimental Psychology, University of Oxford, Oxford, UK · Gatsby Unit & Sainsbury Wellcome Centre, University College London, London, UK

Neural Circuits Neural Representations Deep Network Neural Network Representational Capacity Dissociation

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A foundational principle of connectionism is that perception, action, and cognition emerge from parallel computations among simple, interconnected units that generate and rely on neural representations. Accordingly, researchers employ multivariate pattern analysis to decode and compare the neural codes of artificial and biological networks, aiming to uncover their functions. However, there is limited analytical understanding of how a network's representation and function relate, despite this being essential to any quantitative notion of underlying function or functional similarity. We address this question using analysable two-layer linear networks and numerical simulations in non-linear networks. We find that function and representation are dissociated, allowing representational similarity without functional similarity and vice versa. Further, we show that neither robustness to input noise nor the level of generalization error constrain representations to the task. In contrast, networks robust to parameter noise have limited representational flexibility and must employ task-specific representations. Our findings suggest that representational alignment reflects computational advantages beyond functional alignment alone, with significant implications for interpreting and comparing the representations of connectionist systems.

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Latest papers 36