Jascha Achterberg

Jascha Achterberg serves as a Career Development Research Fellow at the University of Oxford, holding dual affiliations with the Department of Physiology, Anatomy and Genetics (DPAG) and St John's College. He actively contributes to the Costa Group research collective, focusing on the critical intersection of neuroscience and artificial intelligence to decode the principles of intelligence.

Academic Background:

• PhD in Cognitive Neuroscience from the University of Cambridge (MRC Cognition and Brain Sciences Unit), supervised by John Duncan and Matthew Botvinick with collaborative projects at Google DeepMind and Intel.

Research Vision: Dr. Achterberg pioneers investigations into how the brain's system-level architecture enables flexible cognition, with particular emphasis on specialized submodules, circuit patterns, and communication topologies. His work bridges biological intelligence and artificial systems through brain-inspired computing, targeting scalable distributed architectures that replicate cognitive flexibility. This transdisciplinary approach integrates computational neuroscience, AI engineering, and cognitive theory to establish general principles applicable to both neuroscientific modeling and next-generation computing systems.

Publication Trajectory: Recent publications (2023-2025) demonstrate a cohesive research program advancing brain-inspired AI through three converging fronts: (1) modeling neural dynamics for complex problem-solving (frontal lobe networks), (2) developing heterogeneous expert architectures that mimic biological processing pathways, and (3) establishing spatially embedded neural networks that reconcile structural and functional neuroscience data. These works consistently reveal how biological constraints can drive efficiency in artificial systems, particularly in domain-general cognition and scalable learning.

Research Collective: As a core member of the Costa Group at Oxford, Achterberg operates within a dynamic ecosystem focused on systems neuroscience and computational modeling of brain function, leveraging institutional resources from DPAG and cross-sector collaborations with industry partners like Intel and Google DeepMind.