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Every paper Pith has read. Search by title, abstract, or pith.
186 papers in q-bio.NC · page 1
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RNNs switch rhythms with multiple coexisting mechanisms
Multiple mechanisms of rhythm switching in recurrent neural networks with adaptive time constants
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Controls explain all apparent language model to brain alignment
Do Language Models Align with Brains? Prediction Scores Are Not Enough
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Vision models share universal object dimensions that match brains
Characterizing Universal Object Representations Across Vision Models
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Biological neurons outperform AI agents in simulated navigation
Embodied Neurocomputation: A Framework for Interfacing Biological Neural Cultures with Scaled Task-Driven Validation
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Mamba forecaster decodes mouse choice from spikes at 76 percent
Implicit Behavioral Decoding from Next-Step Spike Forecasts at Population Scale
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Spike forecasting ranks brain regions consistently across models
SpikeProphecy: A Large-Scale Benchmark for Autoregressive Neural Population Forecasting
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Gradient ascent recovers V1-to-V4 hierarchy in brain encoders
Feature Visualization Recovers Known Cortical Selectivity from TRIBE v2
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Bifurcations collapse state-space NTK to rank one
State-Space NTK Collapse Near Bifurcations
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Spiking networks learn delayed recurrent links to predict visual sequences
Predictive Coding Light+: learning to predict visual sequences with spike timing-dependent plasticity and synaptic delays
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Inverse rendering models best match human face perception
Human face perception reflects inverse-generative and naturalistic discriminative objectives
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Language descriptions capture monkey neuron selectivity
Letting the neural code speak: Automated characterization of monkey visual neurons through human language
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Conductance synapses and correlations yield realistic variability
Empirical scaling laws in balanced networks with conductance-based synapses
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Latent gait shifts reveal viability differences under occlusion
From Organization to Viability: A Multi-Level Analysis of Gait Dynamics Under Occlusal Constraint
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Contrastive video training yields MT-like direction maps
Self-organized MT Direction Maps Emerge from Spatiotemporal Contrastive Optimization
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Missed events correction clarifies IP3R Park and Drive modes
Accounting for Missed Events in the Bayesian Modeling of IP3R Multimodal Gating
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Synergistic self-knowledge marks consciousness
Consciousness as Uncommon Self-Knowledge: A Synergistic Information Framework
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Fourier embeddings turn angles into periodic high-dimensional vectors
On periodic distributed representations using Fourier embeddings
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Periodic signals encoded as controllable high-dimensional vectors
On periodic distributed representations using Fourier embeddings
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Cerebellar module speeds RNN learning on temporal tasks
Cortico-cerebellar modularity as an architectural inductive bias for efficient temporal learning
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AI Alignment Must Promote Human Flourishing
Positive Alignment: Artificial Intelligence for Human Flourishing
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AI alignment needs positive goals for human flourishing
Positive Alignment: Artificial Intelligence for Human Flourishing
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Sparse coding and timing preserve knowledge across context switches
Joint sparse coding and temporal dynamics support context reconfiguration
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Spike encoders recast as causal wavelets with error bounds
Encoding and Decoding Temporal Signals with Spiking Bandpass Wavelets
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Prediction signals match group brain patterns in language learning
Predictive and feedback signals differently shape the formation of group-level and individualized language representations
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Brain data trades for task samples at alignment-dependent rates
How Much is Brain Data Worth for Machine Learning?
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Quad-modal AI reads cat intent from video
Meow-Omni 1: A Multimodal Large Language Model for Feline Ethology
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Internal errors trigger sparse neural net updates
Internally triggered retrospective learning in neural networks
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Unfinished contents recur via self-boundary blockage
Why the Unfinished Keeps Returning: Canxianization and the Dynamics of Conscious Priority
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Normalized optical density aligns myelin slides with 7T MRI
Automated Optical Density Normalization for Myelin Quantification: Cross-Modal Validation with 7T Ex Vivo MRI
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Geometry-aware flow matching uncovers latent regimes in unpaired snapshots
FLUX: Geometry-Aware Longitudinal Flow Matching with Mixture of Experts
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Unified benchmark shows foundation models only marginally beat task-specific ones
NeuralBench: A Unifying Framework to Benchmark NeuroAI Models
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Grid cells optimize radial basis kernels
Neurally-plausible radial basis kernels using distributed Fourier embeddings
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Frontier reasoning models align with human game learning and brain scans
Reason to Play: Behavioral and Brain Alignment Between Frontier LRMs and Human Game Learners
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Multi-timescale inhibition widens theta oscillator locking range
Dynamical mechanisms of flexible phase-locking in cortical theta oscillators
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Disentangled multi-atlas model aligns brain disorder representations
Learning Cross-Atlas Consistent Brain Disorder Representations via Disentangled Multi-Atlas Functional Connectivity Learning
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Shared neural co-variability peaks in V1 and falls higher up
Partitioning Neural Co-Variability
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Brains and DNNs align on preserved stimulus transformations
Beyond Object-Level Alignment: Do Brains and DNNs Preserve the Same Transformations?
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Neural geometry stretches informative directions and shrinks the rest
A multi-scale information geometry reveals the structure of mutual information in neural populations
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Decoding alignment can arise from small neuron subsets
Decoding Alignment without Encoding Alignment: A critique of similarity analysis in neuroscience
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Think-aloud data reveals different decision models than behavior alone
Think-Aloud Reshapes Automated Cognitive Model Discovery Beyond Behavior
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Antisymmetric indices detect genuine high-order brain frequency couplings
A Generalized Framework of Antisymmetric Polyspectral Indices for Identifying High-Order Neural Interactions
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The study tests whether biasing deep neural networks toward low spatial frequencies or a…
Dissociating spatial frequency reliance from adversarial robustness advantages in neurally guided deep convolutional neural networks
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One model predicts brain responses for new stimuli and recovers known results
A foundation model of vision, audition, and language for in-silico neuroscience
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Neural manifolds crystallize from synchronization and Hebbian plasticity
Neural Manifolds as Crystallized Embeddings: A Synthesis of the Free Energy Principle, Generalized Synchronization, and Hebbian Plasticity
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Cusped singularities organize mixed-mode oscillations
Cusped singularities organize mixed-mode oscillations in mutually inhibitory slow-fast systems
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Learning dynamics in low-rank RNNs reduce to low-dimensional ODEs
Learning reveals invisible structure in low-rank RNNs
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NeuralSet unifies neural data and stimuli in one scalable PyTorch interface
NeuralSet: A High-Performing Python Package for Neuro-AI
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NeuralSet gives one Python interface for brain data and AI models
NeuralSet: A High-Performing Python Package for Neuro-AI
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Score products recover directed neural Jacobians from snapshots
Inferring Active Neural Circuits Using Diffusion Scores
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Online DEM tracks hidden states in chaotic systems
Online Generalised Predictive Coding