1 citations · 1 across the 2 of their papers we have counts for
7 papers
Embodied Neurocomputation: A Framework for Interfacing Biological Neural Cultures with Scaled Task-Driven Validation
Johnson Zhou, Daniel Tanneberg, Forough Habibollahi +12
Biological neural networks (BNNs) have been established as a powerful and adaptive substrate that offer the potential for incredibly energy and data efficient information processin…
CL API: Real-Time Closed-Loop Interactions with Biological Neural Networks
David Hogan, Andrew Doherty, Boon Kien Khoo +6
Biological neural networks (BNNs) are increasingly explored for their rich dynamics, parallelism, and adaptive behavior. Beyond understanding their function as a scientific endeavo…
A Quantifiable Information-Processing Hierarchy Provides a Necessary Condition for Detecting Agency
Brett J. Kagan, Valentina Baccetti, Brian D. Earp +3
As intelligent systems are developed across diverse substrates - from machine learning models and neuromorphic hardware to in vitro neural cultures - understanding what gives a sys…
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…
Simulating Biological Intelligence: Active Inference with Experiment-Informed Generative Model
Aswin Paul, Moein Khajehnejad, Forough Habibollahi +2
With recent and rapid advancements in artificial intelligence (AI), understanding the foundation of purposeful behaviour in autonomous agents is crucial for developing safe and eff…
Graph-Based Representation Learning of Neuronal Dynamics and Behavior
Moein Khajehnejad, Forough Habibollahi, Ahmad Khajehnejad +3
Understanding how neuronal networks reorganize in response to external stimuli and give rise to behavior is a central challenge in neuroscience and artificial intelligence. However…