23 citations · 37 across the 6 of their papers we have counts for
6 papers
A discrete generative model of neuronal spiking activity on microelectrode arrays
Md Sayed Tanveer, Mohammed A. Mostajo-Radji, Ge Wang
Generative models of neural activity could help characterize tissue dynamics, compare experimental conditions, and simulate population activity for applications ranging from diseas…
Implicit Behavioral Decoding from Next-Step Spike Forecasts at Population Scale
John R. Minnick, Jesus Gonzalez-Ferrer, Kamran Hussain +6
Closed-loop brain-computer interfaces often require both a forecast of upcoming neural population activity and a readout of the animal's behavioral state. A single Mamba forecaster…
SpikeProphecy: A Large-Scale Benchmark for Autoregressive Neural Population Forecasting
John R. Minnick, Jinghui Geng, Kamran Hussain +6
Neural population models, which predict the joint firing of many simultaneously recorded neurons forward in time, are typically evaluated by a single aggregate Pearson correlation…
A Computational Perspective on NeuroAI and Synthetic Biological Intelligence
Dhruvik Patel, Md Sayed Tanveer, Jesus Gonzalez-Ferrer +4
NeuroAI is an emerging field at the intersection of neuroscience and artificial intelligence, where insights from brain function guide the design of intelligent systems. A central…
Starting a Synthetic Biological Intelligence Lab from Scratch
Md Sayed Tanveer, Dhruvik Patel, Hunter E. Schweiger +10
With the recent advancements in artificial intelligence, researchers and industries are deploying gigantic models trained on billions of samples. While training these models consum…
Low cost cloud based remote microscopy for biological sciences
Pierre V Baudin, Victoria T Ly, Pattawong Pansodtee +10
A low cost remote imaging platform for biological applications was developed. The "Picroscope" is a device that allows the user to perform longitudinal imaging studies on multi-wel…