Alima Deen
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on the atlas — 74
- A global workspace in language models \ Anthropic25 savers
- Global workspace theory1 savers
- A unifying framework from neural superposition to sparse interpretable codes | Nature Machine Intelligence1 savers
- Research Ideas — The Safety Apprentice1 savers
- Neuro101GG_Syllabus.pdf1 savers
- Research — Reciprocal Research1 savers
- Neurocomputing | ScienceDirect.com by Elsevier - Neurocomputing | ScienceDirect.com by Elsevier1 savers
- Cognition and consciousness arise from analog computations, says new theory | MIT News | Massachusetts Institute of Technology1 savers
- Computational and systems neuroscience: The next 20 years - PMC1 savers
- Probabilistic Decision Making by Slow Reverberation in Cortical Circuits - ScienceDirect1 savers
- showPdf.pdf1 savers
- Tutorial 2 - The Leaky Integrate-and-Fire Neuron — snntorch 1.0.0 documentation1 savers
- A Recurrent Network Mechanism of Time Integration in Perceptual Decisions | Journal of Neuroscience1 savers
- Simulation of networks of spiking neurons: A review of tools and strategies - PMC1 savers
- Simple framework for constructing functional spiking recurrent neural networks | PNAS1 savers
- Probabilistic Decision Making by Slow Reverberation in Cortical Circuits: Neuron1 savers
- Frontiers | Exploring spiking neural networks: a comprehensive analysis of mathematical models and applications1 savers
- AI Robustness1 savers
- Noise in the nervous system | Nature Reviews Neuroscience1 savers
- Stochastic dynamical systems - Scholarpedia1 savers
- The Strategy of Predator Evasion in Response to a Visual Looming Stimulus in Zebrafish (Danio rerio) - PMC1 savers
- Pursuit and Evasion Strategies in Zebrafish: Mathematical Modeling and Behavioral Experiments1 savers
- Neuroscientists have vastly underestimated brain cells’ computing power | Scientific American1 savers
- Positive role of fractional Gaussian noise in FitzHugh–Nagumo neuron model - ScienceDirect1 savers
- Sensory noise predicts divisive reshaping of receptive fields - PMC1 savers
- Fourier Weak SINDy: Spectral Test Function Selection for Robust Model Identification1 savers
- The Weak Form Is Stronger Than You Think1 savers
- Discovering stochastic dynamical equations from ecological time series data1 savers
- From biological data to oscillator models using SINDy - ScienceDirect1 savers
- Distill — Latest articles about machine learning16 savers
- Arousal as a universal embedding for spatiotemporal brain dynamics | Nature1 savers
- Uncovering Dynamical Equations of Stochastic Decision Models Using Data-Driven SINDy Algorithm | Neural Computation | MIT Press1 savers
- The upper limits of biology1 savers
- Data-driven equation discovery reveals nonlinear reinforcement learning in humans - PMC1 savers
- Analysis of the Coupling Effects of Built and Environmental Factors on Researchers’ Psychological Satisfaction with University Research Spaces Based on the Sparse Identification of Nonlinear Dynamics (SINDy) Algorithm1 savers
- Equations of mind: Data science for inferring nonlinear dynamics of socio-cognitive systems - ScienceDirect1 savers
- Learning Mechanics1 savers
- About1 savers
- Mechanistic Interpretability in Brains and Machines and Category Theory | by Farshad Noravesh | Medium1 savers
- Trading places: What happens when neuroscience turns into machine learning, and machine learning turns into neuroscience? | The Transmitter: Neuroscience News and Perspectives1 savers
- Peter Wang on X: "https://t.co/NGA65kLw3W" / X1 savers
- Intelligence is not the main bottleneck - by Ruxandra Teslo7 savers
- Neural circuitry for stimulus selection in the zebrafish visual system - ScienceDirect1 savers
- Central tendency biases must be accounted for to consistently capture Bayesian cue combination in continuous response data - PMC1 savers
- Bayes-Optimal Strategies1 savers
- Conductance-based dendrites perform Bayes-optimal cue integration - PMC1 savers
- Central tendency biases must be accounted for to consistently capture Bayesian cue combination in continuous response data | bioRxiv1 savers
- Bridging the gap between theories of sensory cue integration and the physiology of multisensory neurons - PMC1 savers
- A Normalization Model of Multisensory Integration - PMC1 savers
- Neural circuitry for stimulus selection in the zebrafish visual system - PubMed1 savers
- SINDy-PI: a robust algorithm for parallel implicit sparse identification of nonlinear dynamics | Proceedings A | The Royal Society1 savers
- Physics enhanced sparse identification of dynamical systems with discontinuous nonlinearities | Nonlinear Dynamics | Springer Nature Link1 savers
- Uncovering differential equations from data with hidden variables | Phys. Rev. E1 savers
- Visuomotor decision-making through multifeature convergence in the larval zebrafish hindbrain | Nature Communications1 savers
- Neural circuitry for stimulus selection in the zebrafish visual system - ScienceDirect1 savers
- Data driven model discovery and interpretation for CAR T-cell killing using sparse identification and latent variables - PMC1 savers
- SINDy vs Hard Nonlinearities and Hidden Dynamics: a Benchmarking Study - ScienceDirect1 savers
- Predictive neural computations in the cerebellum contribute to motor planning and faster behavioral responses in larval zebrafish - PMC1 savers
- Distributed plasticity drives visual habituation learning in larval zebrafish - PMC1 savers
- Takens' Embedding Theorem Overview1 savers
- Dyson's eternal intelligence — Grokipedia1 savers
- The illusion of internal models in biological movement | European Journal of Applied Physiology | Springer Nature Link1 savers
- Functions are Vectors9 savers
- Life after work | Mechanize Inc.7 savers
- How p-hacking built the world's most expensive safety regime1 savers
- Why the developing world needs wider streets1 savers
- Item - Integrative, Embodied Agents to Reverse-Engineer Natural Intelligence - Carnegie Mellon University - Figshare1 savers
- Internal Models in Biological Control - PMC1 savers
- The Case For World Models, Part I: The Neuroscientific Reason1 savers
- Internal world models in humans, animals, and AI - ScienceDirect1 savers
- Mechanistic Interpretability: A Challenge Common to Both Artificial and Biological Intelligence - Kempner Institute1 savers
- Neural circuits underlying visually evoked escapes in larval zebrafish - PMC1 savers
- Discovering governing equations from data by sparse identification of nonlinear dynamical systems | PNAS1 savers
- Curius / Onboarding2621 savers