In vitro neurons learn and exhibit sentience when embodied in a simulated game-world
Cortical Dynamics (Australia) · Hudson Institute of Medical Research · +5 more institutions
Abstract
Integrating neurons into digital systems may enable performance infeasible with silicon alone. Here, we develop DishBrain, a system that harnesses the inherent adaptive computation of neurons in a structured environment. In vitro neural networks from human or rodent origins are integrated with in silico computing via a high-density multielectrode array. Through electrophysiological stimulation and recording, cultures are embedded in a simulated game-world, mimicking the arcade game "Pong." Applying implications from the theory of active inference via the free energy principle, we find apparent learning within five minutes of real-time gameplay not observed in control conditions. Further experiments demonstrate…
Citation impact
- FWCI
- 35.61
- Percentile
- 100%
- References
- 64
Authors
10- BJBrett J. KaganCorresponding
Cortical Dynamics (Australia)
- ACAndy C. Kitchen
- NTNhi T. Tran
Hudson Institute of Medical Research
- FHForough Habibollahi
The University of Melbourne
- MAM. Amin Khajehnejad
Monash University
Topics & keywords
- Computer science
- Sentience
- Embodied cognition
- Inference
- Neuroscience
- Sensory system
- Artificial intelligence
- Biological neural network
- Affordable and clean energy
Funding
- CHChildren’s Hospital of Wisconsin Research Institute
- MCMurdoch Children's Research Institute
- ECEuropean CommissionAward: 945539
- MUMonash University
- H2Horizon 2020 Framework ProgrammeAward: 945539
- MRMedical Research CouncilAwards: 945539, 203147/Z/16/Z
- EAEconomic and Social Research Council
- NHNational Health and Medical Research CouncilAward: 1194910