Neuromorphic Computing: Challenges and Future

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Page 3 of 4

Introduction into the module

Introduces nerve cells' electrical activity, focusing on spikes and synaptic potentials.

In Silico Neuroscience: Ion Channels and Neuronal Models

Explores detailed modeling of ion channels and neuronal morphologies in in silico neuroscience, covering neuron classification, ion channel kinetics, and experimental observations.

Integrative Benchmarking: Advancing System Models of Human Intelligence

Explores advancing system models of human intelligence through integrative benchmarking and the importance of Brain-Score for fair model comparisons.

Neural Model: Assemblies of Neurons and Language Acquisition

Explores a neural model, assemblies of neurons, language acquisition, and the future of neuromorphic intelligent systems.

Integrated Circuits: Evolution and Fabrication

Explores the evolution of integrated circuits, from transistors to CMOS technology, highlighting key historical milestones.

Biological Scope and Computational Simulation

Explores connecting biological scope with computational simulation methods and discusses various simulation environments for modeling neural activity.

Scaling Trends: Transistors, Power Constraints, and Parallel Computing

Explores the evolution of transistors, power constraints, and the shift towards parallel computing in modern systems.

Scaling Trends: Transistors, Power, and Hardware Evolution

Explores the evolution of hardware systems, from transistors to modern parallelism and the challenges of power limitations.

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Physics-inspired Computing and Neuromorphic Algorithms

Explores physics-inspired computing, analog computing, optical computing, and the potential of spin waves for physics-based computing.