Analysis methods for large-scale neuronal recordings
C Stringer, M Pachitariu - Science, 2024 - science.org
Simultaneous recordings from hundreds or thousands of neurons are becoming routine
because of innovations in instrumentation, molecular tools, and data processing software …
because of innovations in instrumentation, molecular tools, and data processing software …
Why the simplest explanation isn't always the best
As datasets in neuroscience increase in size and complexity, interpreting these high-
dimensional data is becoming more critical. However, developing an intuition for patterns or …
dimensional data is becoming more critical. However, developing an intuition for patterns or …
[PDF][PDF] Neuro-gpt: Developing a foundation model for eeg
To handle the scarcity and heterogeneity of electroencephalography (EEG) data for Brain-
Computer Interface (BCI) tasks, and to harness the power of large publicly available data …
Computer Interface (BCI) tasks, and to harness the power of large publicly available data …
Neuro-gpt: Towards a foundation model for eeg
To handle the scarcity and heterogeneity of electroencephalography (EEG) data for Brain-
Computer Interface (BCI) tasks, and to harness the power of large publicly available data …
Computer Interface (BCI) tasks, and to harness the power of large publicly available data …
Retrospective for the Dynamic Sensorium Competition for predicting large-scale mouse primary visual cortex activity from videos
Understanding how biological visual systems process information is challenging because of
the nonlinear relationship between visual input and neuronal responses. Artificial neural …
the nonlinear relationship between visual input and neuronal responses. Artificial neural …
Latent diffusion for neural spiking data
Modern datasets in neuroscience enable unprecedented inquiries into the relationship
between complex behaviors and the activity of many simultaneously recorded neurons …
between complex behaviors and the activity of many simultaneously recorded neurons …
Biologically inspired heterogeneous learning for accurate, efficient and low-latency neural network
The pursuit of artificial neural networks that mirror the accuracy, efficiency and low latency of
biological neural networks remains a cornerstone of artificial intelligence (AI) research …
biological neural networks remains a cornerstone of artificial intelligence (AI) research …
To reverse engineer an entire nervous system
There are many theories of how behavior may be controlled by neurons. Testing and
refining these theories would be greatly facilitated if we could correctly simulate an entire …
refining these theories would be greatly facilitated if we could correctly simulate an entire …
[HTML][HTML] Large-scale Foundation Models and Generative AI for BigData Neuroscience
Recent advances in machine learning have led to revolutionary breakthroughs in computer
games, image and natural language understanding, and scientific discovery. Foundation …
games, image and natural language understanding, and scientific discovery. Foundation …
Spiking Music: Audio Compression with Event Based Auto-encoders
M Lisboa, G Bellec - arXiv preprint arXiv:2402.01571, 2024 - arxiv.org
Neurons in the brain communicate information via punctual events called spikes. The timing
of spikes is thought to carry rich information, but it is not clear how to leverage this in digital …
of spikes is thought to carry rich information, but it is not clear how to leverage this in digital …