• Publications
  • Influence
Learning in Networks of Cortical Neurons
TLDR
This is the first time learning of arbitrarily chosen tasks, in networks composed of real cortical neurons, is demonstrated outside of the body, and the number of stimuli required to achieve the target response in each cycle is plotted to generate learning curves. Expand
Development, learning and memory in large random networks of cortical neurons: lessons beyond anatomy
TLDR
It is demonstrated that it is possible to embed functionality into ex-vivo networks, that is, to teach them to perform desired firing patterns in both time and space, by combining closed loop experiments and ensemble-defined rules of activity-dependent change. Expand
Dynamics and Effective Topology Underlying Synchronization in Networks of Cortical Neurons
TLDR
The activity of early-to-fire neurons reliably forecasts an upcoming network spike and provides means for expedited propagation between assemblies, and theory predicts that scale-free topology allows for synchronization time that does not increase markedly with network size; this prediction is supported. Expand
Selective Adaptation in Networks of Cortical Neurons
TLDR
The observation that selective adaptation arises naturally in a network of cortical neurons developing ex vivo indicates that this is an inherent feature of spontaneously organizing cortical networks. Expand
Long-Term Relationships between Synaptic Tenacity, Synaptic Remodeling, and Network Activity
Long term time-lapse imaging reveals that individual synapses undergo significant structural remodeling not only when driven by activity, but also when network activity is absent, raising questionsExpand
Interaction between Duration of Activity and Time Course of Recovery from Slow Inactivation in Mammalian Brain Na+Channels
TLDR
It is suggested that the power law scaling described here can act as a molecular memory mechanism that preserves traces of previous activity, over a wide range of time scales, in the form of modulated reaction rates. Expand
Dynamics of Excitability over Extended Timescales in Cultured Cortical Neurons
TLDR
It is shown that the long-term neuronal excitability dynamics is unstable and dominated by critical fluctuations, intermittency, scale-invariant rate statistics, and long memory, calling for in-depth exploration of activity over wider temporal scales. Expand
Neural timescales or lack thereof
  • Shimon Marom
  • Computer Science, Medicine
  • Progress in Neurobiology
  • 11 January 2010
TLDR
The impacts of the resulting temporal manifold in behavioral and brain sciences on experimental designs and mathematical modeling are analyzed. Expand
Tradeoffs and Constraints on Neural Representation in Networks of Cortical Neurons
TLDR
This work compared the efficacy of different kinds of “neural codes” to represent both spatial and temporal input features in in vitro networks of rat cortical neurons, indicating the inherent redundancy in neural population activity. Expand
Leader neurons in population bursts of 2D living neural networks
Eytan and Marom (2006 J. Neurosci. 26 8465-76) recently showed that the spontaneous bursting activity of rat neuron cultures includes 'first- to-fire' cells that consistently fire earlier thanExpand
...
1
2
3
4
5
...