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Topic: constraints

Seminar
1 seminar
Job
1 job

In Artificial Intelligence and Computer Science

Join TYREX to incorporate database schemas, constraints and rules into relational graph-neural-network message passing. The project investigates neurosymbolic aggregation and relational routes, creates annotated benchmarks, and evaluates accuracy, robustness, data efficiency and interpretability. The renewable 12-month appointment has a planned start on 1 December 2026 and gross monthly pay of EUR 2,788. Telework may be possible after six months.

Seminar · Computational Neuroscience

Can a single neuron solve MNIST? Neural computation of machine learning tasks emerges from the interaction of dendritic properties

Ilenna Jones · University of Pennsylvania

Wed, Dec 7, 2022 · 15:00 UTC

Physiological experiments have highlighted how the dendrites of biological neurons can nonlinearly process distributed synaptic inputs. However, it is unclear how qualitative aspects of a dendritic tree, such as its branched morphology, its repetition of presynaptic inputs, voltage-gated ion channels, electrical properties and complex synapses, determine neural computation beyond this apparent nonlinearity. While it has been speculated that the dendritic tree of a neuron can be seen as a multi-layer neural network and it has been shown that such an architecture could be computationally strong,