Global ETD Search
Search theses and dissertations gathered from participating repositories worldwide. Every result links back to the library that holds it. No account is needed.
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Showing 1 to 20 of 41 for “"Hebbian"”.
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Hebbian covariance learning and self-tuning optimal control
Thesis (S.M.)--Massachusetts Institute of Technology, Dept. of Mechanical Engineering, 1997.
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Self-orthogonalizing strategies for enhancing Hebbian learning in recurrent neural networks
… recurrent, and still learns by prescriptive Hebbian learning, but the hidden neurons give it power and flexibility which were not available in Hopfield’s original network. The key to the success of the model is that it uses the emerging structure of its own memory space to establish a pattern …
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An Hebbian Approach to the Study of the Visual Perception of Deaf Children
Made available in DSpace on 2014-12-08T21:23:05Z (GMT). No. of bitstreams: 1 6500783.pdf: 5736538 bytes, checksum: 73264faa62b1914729711f39f4158180 (MD5) Previous issue date: 1964
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Developmental plasticity of the glutamate synapse: Roles of low frequency stimulation, hebbian induction and the NMDA receptor
… dependent synaptic plasticities, such as Hebbian induced long-term potentiation (LTP) and low frequency (1 Hz) induced long-term depression (LTD) have been considered to be of critical importance for this selection. However, in the neonatal brain the glutamate synapse displays a seemingly …
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Network Structures Arising from Spike-Timing Dependent Plasticity
… on the interplay between synaptic stability and Hebbian competition, explained in Chapter 1. Starting from the simplest description of STDP which relates synaptic modification to the intervals between pairs of pre- and postsynaptic spikes, I show in Chapter 2 that stability and Hebbian …
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Improving Liquid State Machines Through Iterative Refinement of the Reservoir
… to create a more effective one. First, we apply Hebbian learning to LSMs by building the liquid with spike-time dependant plasticity (STDP) synapses. Second, we create an eligibility based reinforcement learning algorithm for synaptic development. Third, we apply principles of Hebbian learning …
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Models of sensory coding
… external guidance or supervision: 1 - An ‘anti-Hebbian’ synaptic modification rule is demonstrated to be able to adaptively form an uncorrelated representation of the correlated input signal. This mechanism can match the distribution of input patterns to the actual signalling space of the …
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Towards adaptive neural networks: Bio-inspired principles for functional and structural plasticity
… we attempt to imitate this process by employing Hebbian Learning, a model of plasticity, in ANNs. This model is inspired by Hebb’s theory, which can be summarized as: “If one neuron actively contributes to the firing of a second neuron, their connection strengthens”. In particular, we employed …
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Dynamics and learning in recurrent neural networks
… between back-propagation and contrastive-Hebbian learning, and show how backpropagation could be equivalently implemented by contrastive-Hebbian learning in a layered network. I also propose a learning rule governing synaptic plasticity in a network of spiking neurons and compare it with …
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A Discrete Holographic Model of Neural Memory in the Context of Invariant Perception and Recognition
… neural processes of spatiotemporal summation and Hebbian plasticity to perform the necessary operations. It is shown to be a content-addressable, associative memory whose output is pseudoinvariant with respect to spatial translations of the input. The distributed nature of the encoding algorithm …
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Effects of weak electric fields on long-term synaptic plasticity
… by the same cellular machinery that implements Hebbian synaptic plasticity. In chapter 4, we show that the effects of DCS therefore exhibit Hebbian properties, such as pathway specificity and associativity, whose role in associative learning has been studied extensively. These results suggest …
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Electrophysiological Markers of Sensory Plasticity and Connectomics in Ageing and Mild Cognitive Impairment
… Potentiation (LTP) paradigm as an index of Hebbian plasticity, and the roving Mismatch Negativity (MMN), as an index of Predictive Coding. In addressing aim 1, the modulation of effective connectivity induced by these paradigms was compared. Consistent with their respective learning models, …
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Dynamics of adaptive recurrent neural networks
… The plasticity rule is chosen from the class of Hebbian learning rules, in which the synaptic connection between two neurons evolves continuously as a function of their correlation in the recent past. Initially an analysis of networks of two neurons is presented, which exhibit relaxation …
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Motor neuron output in the crustacean cardiac ganglion is organized and maintained by homeostatic conductance relationships
… a neurons intrinsic excitability alone include Hebbian style plasticity, ion channel turnover and neuromodulation. With these dynamic processes in place, it is remarkable that neurons are able to maintain stable and functional output throughout the life of an organism. Yet little is known about …
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From space to episodes : modeling memory formation in the hippocampal-neocortical system
… and perforant path inputs are subject to graded Hebbian plasticity. Attractors are thus sculpted in CA3, and are associated with entorhinal activity patterns. In familiar environments, place fields are controlled by the way that perforant path inputs select amongst the attractors. Depending on …
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Brain computer interface based neurorehabilitation technique using a commercially available EEG headset
… changes in the targeted subject group, as per Hebbian type learning.
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Passive experience-dependent plasticity in mouse primary visual cortex
… mechanisms that are not only hallmarks of Hebbian synaptic plasticity, but also the engagement of parvalbumin-positive (PV+) inhibitory interneurons. Herein we build upon this foundational work and show that SRP expression can be explained as the engagement of two different interneuron …
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The rule of Myosin II and Rap2 in synaptic structure and function
… phenomena that have been studied extensively are Hebbian plasticity and changes in dendritic spine morphology. Recent proteomics studies have uncovered many proteins that reside in the synapse and could play critical roles in these processes. Among these are the molecular motor myosin II and the …
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In vivo visualization of CaMKII activity in ocular dominance plasticity
… understood. Recent studies revealed that both Hebbian and homeostatic mechanisms play a role in OD plasticity. Therefore, we were interested in monitoring the process of rapid plasticity at individual synapses in vivo to gain insight into the interplay of these two mechanisms. Ca2+/calmodulin …
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Evolving Neural Networks with HyperNEAT and Online Training
… backpropagation, reinforcement backpropagation, Hebbian learning, and temporal difference learning. These are compared against the baseline HyperNEAT algorithm with no online learning. Next, the methodology of applying online learning is extended in an attempt to find optimal learning rate …
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