Neuroscience

Recreating Neural Activity During Speech Production with Language and Speech Model Embeddings Interspeech 2025 Speech power spectra: a window into neural oscillations in Parkinson's disease Interspeech 2025 Speech stimulus design to study the neural coding of speech and the impact of cochlear synaptopathy Interspeech 2025 SpikF: Spiking Fourier Network for Efficient Long-term Prediction ICML 2025 Superradiance NeurIPS 2025 Symbolic Neural Ordinary Differential Equations AAAI 2025 Temporal Misalignment in ANN-SNN Conversion and its Mitigation via Probabilistic Spiking Neurons ICML 2025 Towards a dynamical model of transitions between fluent and stuttered speech Interspeech 2025 ZAPBench: A Benchmark for Whole-Brain Activity Prediction in Zebrafish ICLR 2025 NeuroPath: A Neural Pathway Transformer for Joining the Dots of Human Connectomes NeurIPS 2024 A Convolutional Neural Network Interpretable Framework for Human Ventral Visual Pathway Representation AAAI 2024 Active learning of neural population dynamics using two-photon holographic optogenetics NeurIPS 2024 Analytically deriving Partial Information Decomposition for affine systems of stable and convolution-closed distributions NeurIPS 2024 A scalable generative model for dynamical system reconstruction from neuroimaging data NeurIPS 2024 Balanced Resonate-and-Fire Neurons ICML 2024 Bayesian Bi-clustering of Neural Spiking Activity with Latent Structures ICLR 2024 Benchmarking Out-of-Distribution Generalization Capabilities of DNN-based Encoding Models for the Ventral Visual Cortex. NeurIPS 2024 Binding in hippocampal-entorhinal circuits enables compositionality in cognitive maps NeurIPS 2024 BrainBits: How Much of the Brain are Generative Reconstruction Methods Using? NeurIPS 2024 Brain Decodes Deep Nets CVPR 2024 BrainSCUBA: Fine-Grained Natural Language Captions of Visual Cortex Selectivity ICLR 2024 Controlled maximal variability along with reliable performance in recurrent neural networks NeurIPS 2024 convSeq: Fast and Scalable Method for Detecting Patterns in Spike Data ICML 2024 Decomposed Linear Dynamical Systems (dLDS) for learning the latent components of neural dynamics JMLR 2024 Discovering plasticity rules that organize and maintain neural circuits NeurIPS 2024