33 citations · 104 across the 13 of their papers we have counts for
14 papers
Non-standard memory models with indexed retrieval
Gabriele Scheler, Martin L. Schumann, Johann Schumann
The standard memory models for neural networks are variants of the Hopfield network, where feature representations are stored as vectors in a matrix. Retrieval happens based on sim…
Sketch of a novel approach to a neural model
Gabriele Scheler
We present an account of neuroplasticity with respect to cell-internal processing pathways in relation to membrane and synaptic plasticity. We think traditional synapse-centric, we…
Dopamine modulation of prefrontal delay activity-reverberatory activity and sharpness of tuning curves
Gabriele Scheler, Jean-Marc Fellous
Recent electrophysiological experiments have shown that dopamine (D1) modulation of pyramidal cells in prefrontal cortex reduces spike frequency adaptation and enhances NMDA transm…
Logarithmic distributions prove that intrinsic learning is Hebbian
Gabriele Scheler
In this paper, we present data for the lognormal distributions of spike rates, synaptic weights and intrinsic excitability (gain) for neurons in various brain areas, such as audito…
Self-organization of signal transduction
Gabriele Scheler
We propose a model of parameter learning for signal transduction, where the objective function is defined by signal transmission efficiency. We apply this to learn kinetic rates as…
Transfer Functions for Protein Signal Transduction: Application to a Model of Striatal Neural Plasticity
Gabriele Scheler
We present a novel formulation for biochemical reaction networks in the context of signal transduction. The model consists of input-output transfer functions, which are derived fro…