Speaking and teaching
Talks & teaching
Invited talks
2026-02
Intracellular dynamics for mixed signal neuromorphic computation
Georgia Institute of Technology, Atlanta GA
2026-01
Energy-efficient intracellular processing in neuronal networks
Energy Consequences of Information workshop, Santa Fe NM
2026-01
Scaling neural computation: bridging neural modeling to NeuroAI
Flagship Pioneering, Boston MA
2026-01
Hierarchical dynamical systems for hardware–algorithm codesign
GreatSky.ai, Boulder CO
2025-11
Automated optimization for analog AI accelerator design
Georgia Tech Research Forum, Atlanta GA
2025-06
Embedded neurally inspired visual processing
Great Lakes VLSI Conference
2025-04
How AI is changing circuit design
HBCU CHIPS Network Conference, Washington DC
2024-07
Beyond spikes: dendritic dynamics for intracellular processing
International Conference on Neuromorphic Systems
Conference talks
2025-12
Chaotic dynamics and machine learning for medium-term drought prediction
AGU Annual Meeting
2025-05
Graph reservoir networks for prediction of spatiotemporal systems
SIAM Conference on Dynamical Systems
2024-12
Machine learning and reservoir computing for watershed-scale drought prediction
AGU Annual Meeting
2024-04
CrossSim: a hardware/software co-design tool for analog in-memory computing (tutorial)
NICE, San Diego CA
2020-11
Trajectory prediction in a biologically inspired network
From Neuroscience to Artificially Intelligent Systems, Cold Spring Harbor
2019-03
A model of relational reasoning through selective attention and working memory
Memory Messabout, Boston MA
Posters & abstracts
2025-07
Context modulation enables model robustness to weight noise in recurrent spiking neural networks
‡ S. Luca, G. W. Chapman, T. P. Xiao, S. Agarwal, F. S. Chance, C. Teeter
ICONS, Bellevue WA
2025-03
Graph Reservoir Networks for Prediction of Spatiotemporal Systems
G. W. Chapman, J. D. Smith, J. Mott, C. Teeter, N. D. Jackson
Conference on Data Analysis, Santa Fe NM
2024-12
Developing machine-learning and statistical models for Western US seasonal precipitation anomalies
Z. Strasberg, L. Scuderi, N. D. Jackson, G. W. Chapman, J. D. Smith, C. Teeter, J. Mott
AGU Annual Meeting
2024-10
Spatial context invariant representations in the retrosplenial cortex
E. D. Cimino, X. Lin, G. W. Chapman, A. S. Alexander
Society for Neuroscience
2024-10
Systematic comparison of receptive field properties across a distributed egocentric vector cell circuit
E. D. Cimino, X. Lin, G. W. Chapman, A. S. Alexander
Society for Neuroscience
2024-08
Self-supervised mapping and localization by predictive learning
G. W. Chapman, A. S. Alexander, F. S. Chance, M. E. Hasselmo
Computational Cognitive Neuroscience
2024-01
Neurally-inspired spatiotemporal processing with analog in-memory compute
G. W. Chapman, S. Agarwal, T. P. Xiao, P. Hays, S. Musuvathy
Winter Workshop on Physical Computing
21 earlier posters (2010–2022), mostly Society for Neuroscience, are listed in the full CV.
Teaching
Boston University · Teaching Fellow, Cognitive Neuroscience; Learning and Memory; Psychopharmacology (2018–2020)
University of Colorado · Teaching Fellow, Advanced Cognitive Neuroscience & Research Methods (2016–2018)
Boston University · TA, Biomedical Instrumentation I & II (2011–2012)
Service & outreach
Guest editor, Frontiers in Neuromorphic Engineering — special issue on intracellular computation
Organising committee: NICE and the Energy Consequences of Information conference (2026–)
Program committee: NICE, ICONS, RSE (2024–)
Reviewer: Neural Networks, NeurIPS, ICLR, J. Comp. Neuro., J. Neural Eng., Frontiers in Neuroscience
UNM Grand Challenge steering committee — drafted calls and evaluated interdisciplinary institutional proposals
Founded the East Mountain Robotics Club — after-school programming and IoT for middle schoolers (2024–)