|
Presenting Author |
Abstract Title |
Talk/Poster |
|
Abdelhedi, Hamza |
Temporal dynamics of face recognition—Insights from combining MEG and Artificial Neural Networks |
poster |
|
Alemi, Alireza |
Lyapunov-based learning enables efficient generalization in spike-coding networks |
poster |
|
Amelchenko, Evgeny |
Conflictome—Understanding the circuitry of social conflict via large-scale modeling of behavioral and neural data |
poster |
|
Aquino, Tomas |
Top-down language signaling dynamically mediates flexible behavior in human single neurons |
poster |
|
Bell, David G |
Discovering plasticity rules that organize and maintain neural circuits |
poster |
|
Benjamin, Ari |
Interpreting networks as mixtures of experts yields an update preserving Dale’s law |
poster |
|
Bennett, Max |
Why NeuroAI needs evolutionary neuroscience |
talk |
|
Bhattasali, Nikhil |
Neural circuit architectural priors for quadruped locomotion |
talk |
|
Biton, Dionessa |
Characterizing the intrinsic dimension of cryptochrome protein using autoencoders |
poster |
|
Brinkman, Braden |
Sensory encoding in the auditory system |
poster |
|
Chandra, Sarthak |
A biologically plausible mechanism for the self-organization of modularity, hierarchy, and mirror reversals of cortical sensory processing pathways |
poster |
|
Chen, Chenggang |
Neural embedding ranks—Aligning 3D latent dynamics with movement for longitudinal decoding |
poster |
|
Chen, Jianhui |
Biologically plausible training of deep neural networks using a top-down credit assignment network |
talk |
|
Chen, Sixuan |
RTify—Aligning deep neural networks with human behavioral decisions |
poster |
|
Chen, Yusi |
Unveiling the latent dynamics in social cognition with multi-agent inverse reinforcement learning |
talk |
|
Cheng, Yu-Ang |
Divisive normalization plasticity—A key mechanism in perceptual learning for mitigating perceptual costs |
poster |
|
Cheon, Jeonghwan |
Random noise enables reliable learning without weight transport |
poster |
|
Chindemi, Giuseppe |
Unveiling the social brain—Self-supervised transformers align with VTA activity patterns |
poster |
|
Chou, Chi-Ning |
Task-relevant geometry explains coding efficiency in neural representations |
poster |
|
Chou, Ya-Hui |
The stochastic wiring of olfactory local interneurons |
poster |
|
Choudhary, Shubham |
Implicit generative models using kernel similarity matching |
poster |
|
Chua, Raymond |
Unraveling successor features—A simple method for robust learning from pixels, and embracing continual learning |
poster |
|
Cleland, Thomas |
Brain-inspired neuromorphic algorithm for rapid odor learning and recognition in the wild |
poster |
|
Codol, Olivier |
Biologically plausible neural dynamics for reaching emerge in reinforcement—not supervised—learning |
poster |
|
Cone, Ian |
Credit assignment in hippocampus via behavioral timescale plasticity |
poster |
|
Corbo, Julien |
Comparing information usage in biological and artificial systems performing orientation discrimination |
poster |
|
Daruwalla, Kyle |
Generative modeling of trained networks as an analogy for neuronal development |
poster |
|
Dimitrova, Nevenka |
Neurally inspired hybrid architecture for spatial biology |
poster |
|
Donati, Elisa |
Neuromorphic hardware in healthcare |
talk |
|
Dumitras, Tudor A |
Slowdown—A new tool for understanding large language models |
talk |
|
Effenberger, Felix |
The functional role of oscillatory dynamics in neocortical circuits—A computational perspective |
poster |
|
Eschbach, Claire |
Drosophila larva as a biological model for the study of reinforcement learning |
poster |
|
Fan, Xinhao |
Contribute to balance, wire in accordance—Emergence of backpropagation from a simple, bio-plausible neuroplasticity rule |
poster |
|
Fang, Ruogu |
Aversive association and generalization in brain-inspired deep neural network |
poster |
|
Farrell, Kathryn |
Dynamical similarity analysis of primate cortical networks under targeted optogenetic stimulation |
poster |
|
Feather, Jenelle |
Spectral theory of neural alignment and prediction |
poster |
|
Feitosa Tome, Douglas |
Distributed engrams underlie flexible and versatile neural representations |
poster |
|
Ferreira Castro, André |
Invariant synaptic density normalizes neuronal responses across species |
poster |
|
Friedman, Yoni |
Tracking under extreme uncertainty with probabilistic programs |
poster |
|
Fyshe, Alona |
What's the opposite of a face? Finding shared decodable concepts and their negations in the brain |
talk |
|
Galloni, Alessandro |
Biologically-plausible deep learning in recurrent E/I networks with dendritic gating of plasticity |
poster |
|
Handebagh, Vivek S |
Harnessing and modulating chaos to sample from neural generative models |
poster |
|
Hanson, Timothy L |
Efficient constraint satisfaction with reinforcement learning |
talk |
|
Harvey, Sarah |
Duality of bures and shape distances with implications for comparing neural representations |
poster |
|
Henha Eyono, Roy |
Inhibition-mediated normalization provides learned robustness in neural networks |
poster |
|
Hermundstad, Ann |
Inductive biases for rapid learning |
talk |
|
Hiratani, Naoki |
Optimal task-order for continual learning of multiple tasks |
poster |
|
Histed, Mark H |
Active filtering of sequences of neural activity by recurrent circuits of sensory cortex |
talk |
|
Hou, Helen |
A 3D whole-face movement analysis system to uncover underlying physiology in mice |
poster |
|
Hu, Yujia |
Quantifying social roles in multi-animal videos using subject-aware deep-learning |
poster |
|
Huang, Ann |
Stochastic wiring of cell types enhances fitness by generating phenotypic variability |
talk |
|
Hurtado, Jose R |
An encoding model of place cells using distributed inputs, random connections, and inhibition reproduces diverse features of hippocampal activity |
poster |
|
Indiveri, Giacomo |
Bridging the design gap—From principles of neural design to neuromorphic intelligence |
talk |
|
Jain, Shailee |
Deep neural networks reveal context-sensitive speech encoding in single neurons of human cortex |
talk |
|
Janik, Romuald A |
Aspects of human memory and large language models |
poster |
|
Jesusanmi, Oluwaseyi |
Investigating visual navigation using spiking neural network, embodied robotics and simulations |
poster |
|
Jiang, Chen |
Brain Bandit—A biologically grounded neural network for efficient control of exploration |
poster |
|
Johnsen, Kyle A |
A foundation for causal characterization of latent neural dynamics with limited observational and interventional capacity |
poster |
|
Karuvally, Arjun |
A unified framework for RNN memory—The role of traveling waves |
talk |
|
Keller, T. Anderson |
Traveling waves in state space models |
talk |
|
Kerstjens, Stan |
Growing complex intelligent systems with simple recursive rules |
talk |
|
Kim, Anmo |
FlyVisNet—An insect vision-inspired artificial neural network for the control of a nano drone |
talk |
|
Kirsanov, Artem |
Probing task-dependent representational geometry in language models via manifold capacity |
talk |
|
Koulakov, Alexei |
Deepnose—An equivariant convolutional neural network predictive of human olfactory percepts |
talk |
|
LaFosse, Paul K |
Single-cell optogenetics reveals attenuation-by-suppression in visual cortical neurons |
poster |
|
Lajoie, Guillaume |
Beyond parameters—Linking parametric and context-based learning in neural networks |
talk |
|
Lake, Brenden |
Learning through the eyes and ears of a child |
talk |
|
Lane, Connor |
Topographic mixtures of experts |
poster |
|
Le Thi Nguyet, Hang |
Understanding feature learning in neural networks with manifold capacity and effective geometry |
poster |
|
Li, Chenyi |
A framework of mapping visual stimulus to neural responses via discrete latent representation |
poster |
|
Li, Chenyi |
Learning to reinforcement learn via Transformer |
poster |
|
Li, Xin |
Manifold learning via memory and context |
poster |
|
Li, Yichen |
Fully-Learnable Assembly Calculus (FLAC)—Orchestrating discrete memory operations with reinforcement learning and a Hebbian neural workspace |
talk |
|
Linsley, Drew A |
Building better models of biological vision by searching for the principles that shape visual system development |
poster |
|
Lipshutz, David |
Shaping the distribution of neural population responses with interneurons in a recurrent circuit model |
poster |
|
Liu, Qiang |
Toward complete biophysical mapping and modeling of the C. elegans nervous system |
poster |
|
Liu, Tingkai |
Token-level curriculum learning for massively multi-task large language modeling |
poster |
|
Llera Montero, Milton |
Mechanistic models of growth and development and their integration into AI systems |
poster |
|
Mansingh, Siddharth |
Scaling energy-based models to complex datasets |
poster |
|
McConachie, Grant |
Improved odor-receptor interaction predictions via self-supervised learning |
poster |
|
Medepalli, Saaketh |
Interpreting the role of brain rhythms during language comprehension using large language models |
poster |
|
Mitchell, Kevin |
The Genomic Code—how the wiring of neural systems is encoded in the genome |
talk |
|
Mohedano, Raúl |
Artificial neural networks whose neurons emulate backpropagating action potentials and input-dependent dendritic nonlinearities are more robust, more expressive, learn faster and need less training data |
poster |
|
Moore, Jasmine |
Geometry of a neurodegenerating visual system—An in silico study |
poster |
|
Morrill, Todd |
Learnable delays in spiking neural networks |
poster |
|
Muzellec, Sabine |
Tracking objects that change in appearance with phase synchrony |
poster |
|
Nagel, Katherine I |
Understanding the structure of neural circuits underlying odor-guided navigation |
poster |
|
Navlakha, Saket |
A neural algorithm for computing bipartite matchings |
poster |
|
Nguyen, Bach V |
Evaluating topological fitness of human brain functional sub-circuits in echo state networks |
poster |
|
Nowak, Maciej A |
Non-orthogonal eigenvectors, fluctuation-dissipation relations and entropy production in neural matrix models |
poster |
|
Pal, Asit |
Multi-stage hierarchical cortical recurrent circuit implementing normalization |
poster |
|
Pan, Yijie |
Separating representations for changing tasks—A spiking neuron network inspired by mini brains |
poster |
|
Pao, Gerald |
Experimentally testable mappings of brain activity manifolds to behavior |
poster |
|
Patel, Devdhar |
Developing muscle memory using temporally asymmetric actor-critic |
poster |
|
Patel, Devdhar |
Optimizing attention and cognitive costs with multi-policy reinforcement learning |
talk |
|
Patel, Devdhar |
Robust control in partially observable environments using self-information and asymmetric actor-critic |
poster |
|
Pehle, Christian |
A computer architecture for temporally sparse training and inference |
poster |
|
Pehle, Christian |
Smoothed spike transitions in spiking neural networks |
poster |
|
Pogodin, Roman |
Learning with non-Euclidean synaptic plasticity |
poster |
|
Pospelov, Nikita |
Fast gradient-free activation maximization for neurons in spiking neural networks |
poster |
|
Qin, Shanshan |
The neuron as a rectified dynamical unit (ReDU) |
poster |
|
Rajulapati, Lokesh K |
What makes a representation interpretable? |
poster |
|
Ran, Xuming |
Improving continual learning of pre-trained model via neural silent synapses inspired adaptive connection |
poster |
|
Ran, Xuming |
Memory stability and plasticity via dynamic codebooks for replay-free continual learning in pre-trained models |
poster |
|
Rawat, Shivang |
Unconditional stability of a recurrent neural circuit implementing divisive normalization |
poster |
|
Reyhanian, Elham |
Neuroscience of cerebral palsy perceived by AI-driven insights and innovations—A literature review |
poster |
|
Robinson, Brian S |
Beyond weight transport with optimized generalized feedback networks |
poster |
|
Rondoni, Nicholas A |
Predicting neuronal firing from calcium imaging using a control theoretic approach |
poster |
|
Sarkar, Aakash |
A neural circuit model of working memory representations using laplace neural manifolds |
poster |
|
Settur, Anantha Sai Jithamanyu |
Principles of neuro evolution |
poster |
|
Shoji, Lucas |
All learning is (natural) gradient descent |
poster |
|
Shuvaev, Sergey |
Encoding innate ability through a genomic bottleneck |
poster |
|
Slatton, Will |
Neural population geometry and optimal coding of tasks with shared latent structure |
poster |
|
Song, Deying |
Neuronal heterogeneity of normalization in a circuit model |
poster |
|
Stern, Merav |
A reservoir of timescales emerges in recurrent circuits with heterogeneous neural assemblies |
talk |
|
Stringer, Carsen |
Towards a simplified model of primary visual cortex |
talk |
|
Tagmazian, Arina |
Data-driven subgrouping of individuals on Alzheimer’s continuum based on amyloid-β brain imaging |
poster |
|
Tolooshams, Bahareh |
A feedback mechanism in deep generative networks to remove degradation from visual stimuli |
talk |
|
Toosi, Tahereh |
Generative inference in object recognition models—A unifying framework for discriminative and generative computations in vision |
talk |
|
Tran, Khue |
Weight transfer in the reinforcement learning model of songbird learning |
poster |
|
Tripp, Bryan P |
Spatial organization of multisensory convergence in mouse isocortex |
poster |
|
Tsodyks, Misha |
AI-assisted study of human memory for meaningful narratives |
poster |
|
Vafaii, Hadi |
Poisson VAEs learn natural image statistics |
poster |
|
Virgili, Samuele |
A data-driven approach to study time adaptation in the visual system |
poster |
|
Vogelstein, Joshua |
Prospective learning—Learning for a dynamic future |
talk |
|
Wang, Binxu |
Dynamic alignment of ventral stream neural tuning and object manifold—Implications for feedback modulation |
talk |
|
Wang, Qingyang |
From nanoscale connectomes to functional complexity |
poster |
|
Wang, Yanchen |
Decoding visual experience and mapping semantics through whole-brain analysis |
poster |
|
Williams, Alex H |
Quantifying decodable information versus representational geometry in neural networks |
talk |
|
Wiltschko, Alexander B. |
A metabolic theory of scent |
talk |
|
Wojcik, Michal J |
Learning dynamics in the PFC can be explained by an external controller |
poster |
|
Xu, Mingkun |
Eliminating catastrophic forgetting in spiking neural networks through neuromodulated homeostasis adaptivity |
poster |
|
Xu, Mingkun |
Orchestrating spiking dynamics with dendritic activation functionality for bolstering expressivity and learning efficiency |
poster |
|
Xu, Yunlong |
Applying Abstract rules inspired by cognitive neuroscience for semi-supervised learning on human standard intelligence tests |
poster |
|
Yamins, Daniel |
Climbing the ladder of causation toward mid-level vision |
talk |
|
Yin, Yijie |
Connectome interpreter—A toolkit |
poster |
|
Yu, Yiyi |
Visual information is broadcast among cortical areas in discrete channels |
poster |
|
Zeisler, Zachary R |
Neural dynamics supporting affective reward learning |
poster |
|
Zhang, Charles |
STAC-MJX—GPU-accelerated skeletal model registration from motion capture data for embodied simulation applications |
poster |
|
Zhang, Yizi |
Towards a "universal translator" for neural dynamics at single-cell, single-spike resolution |
poster |