• Publications
  • Influence
Memory Capacities for Synaptic and Structural Plasticity
TLDR
We introduce fair measures for information-theoretic capacity in associative memory that also provide a theoretical benchmark. Expand
  • 111
  • 11
  • PDF
Cell assemblies in the cerebral cortex
TLDR
This paper summarizes the present state of cell assembly theory, realized in a network of associative memories, and of the anatomical evidence for its location in the cerebral cortex. Expand
  • 98
  • 7
A hybrid brain interface for a humanoid robot assistant
TLDR
We present an advanced approach towards a semi-autonomous, robotic personal assistant for handicapped people. Expand
  • 21
  • 4
Neural Associative Memory and the Willshaw--Palm Probability Distribution
  • A. Knoblauch
  • Mathematics, Computer Science
  • SIAM J. Appl. Math.
  • 8 September 2008
TLDR
Asymptotic analyses of binary neural associative networks of Willshaw or Steinbuch type relied on a binomial approximation of the neurons' dendritic potentials. Expand
  • 21
  • 4
Structural Synaptic Plasticity Has High Memory Capacity and Can Explain Graded Amnesia, Catastrophic Forgetting, and the Spacing Effect
TLDR
We present a parsimonious computational model for learning by structural plasticity which exhibits surprisingly high memory capacity and can explain the mentioned cognitive effects. Expand
  • 30
  • 3
  • PDF
Closed-form Expressions for the Moments of the Binomial Probability Distribution
  • A. Knoblauch
  • Computer Science, Mathematics
  • SIAM J. Appl. Math.
  • 8 September 2008
TLDR
This work develops closed-form expressions for the raw and central moments of the binomial probability distribution that are essentially the same as the Stirling numbers of the second kind. Expand
  • 25
  • 3
Spiking Associative Memory and Scene Segmentation by Synchronization of Cortical Activity
TLDR
We have studied the bidirectional dynamical interaction of two areas, where the lower area is modelled to match area V1 in greater detail and the higher area uses Hebbian learning to form an associative memory for a number of geometric shapes. Expand
  • 12
  • 3
Discrete combinatorial circuits emerging in neural networks: A mechanism for rules of grammar in the human brain?
TLDR
We show that neural networks incorporating relevant features of neuroanatomical connectivity and neuronal function give rise to discrete neuronal circuits that store combinatorial information and exhibit a function similar to elementary rules of grammar. Expand
  • 47
  • 2
Scene segmentation by spike synchronization in reciprocally connected visual areas. II. Global assemblies and synchronization on larger space and time scales
TLDR
We present further simulation results of the model of two reciprocally connected visual areas proposed in the first paper [Knoblauch and Palm (2002) Biol Cybern 87:151–167]. Expand
  • 41
  • 2
Scene segmentation by spike synchronization in reciprocally connected visual areas. I. Local effects of cortical feedback
TLDR
We present a model of two reciprocally connected visual areas using spiking neurons to investigate scene segmentation in the visual system. Expand
  • 41
  • 2