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Monster Analogies - Semantic Scholar
Monster Analogies - Semantic Scholar

... Chalmers, French, and Hofstadter 1992; Gentner and Gentner 1983; Carbonell 1982; Hofstadter 1981; Verbrugge and McCarrell 1977). Although it can be tricky to induce the spontaneous noticing of analogy in the psychological laboratory (for example, Ross [1987]; Reed, Dempster, and Ettinger [1985]; Gic ...
Monster Analogies - Semantic Scholar
Monster Analogies - Semantic Scholar

... Chalmers, French, and Hofstadter 1992; Gentner and Gentner 1983; Carbonell 1982; Hofstadter 1981; Verbrugge and McCarrell 1977). Although it can be tricky to induce the spontaneous noticing of analogy in the psychological laboratory (for example, Ross [1987]; Reed, Dempster, and Ettinger [1985]; Gic ...
Conductance-Based Model of the Voltage
Conductance-Based Model of the Voltage

... Otsuka, Takeshi, Takafumi Abe, Takahisa Tsukagawa, and WenJie Song. Conductance-based model of the voltage-dependent generation of a plateau potential in subthalamic neurons. J Neurophysiol 92: 255–264, 2004; 10.1152/jn.00508.2003. Because the subthalamic nucleus (STN) acts as a driving force of the ...
Different levels of Ih determine distinct temporal integration in
Different levels of Ih determine distinct temporal integration in

The knowledge level - Research Showcase @ CMU
The knowledge level - Research Showcase @ CMU

... fueled, not only by technical advances, which occurred rapidly and on a broad front (Loveland, 1978), but also by the view that we had a general purpose reasoning engine in hand and that doing logic (and doing it well) was a foundation stone of all intelligent action. Within about five years, howeve ...
SAD Kinases Sculpt Axonal Arbors of Sensory Neurons through
SAD Kinases Sculpt Axonal Arbors of Sensory Neurons through

... LKB1fl/fl; Nestin-cre, denoted LKB1Nestin-cre). LKB1Nestin-cre mice survived to birth and exhibited cortical defects similar to those demonstrated previously when LKB1 was deleted selectively from cortical progenitors (Barnes et al., 2007): the cortical wall was thinned, apoptosis was prevalent in t ...
Ontology Integration Experienced on Medical Terminologies
Ontology Integration Experienced on Medical Terminologies

... before, there exist different kinds of relationship between concepts and categories of the ACC and STS. This forces us to evaluate each relationship and to incorporate its treatment in the semantic enrichment algorithm. If there exists an IS-A relationship between a concept and a category, then a se ...
Sound processing by local neural populations in the
Sound processing by local neural populations in the

... intermediate spatial resolution, in which much of information processing in the cortex is believed to occur: the level of local neuronal networks. Information processing in the cortex is believed to be facilitated by the interaction of large numbers of synaptically connected neurons. The combination ...
Modulation of Inhibitory Synaptic Potentials in the Piriform Cortex
Modulation of Inhibitory Synaptic Potentials in the Piriform Cortex

Reflex Testing in The Laboratory
Reflex Testing in The Laboratory

... signals are sent out (motor or efferent; EE fair unt) to the effector organ. In simple stretch reflexes, only two neurons are involved: sensory and motor, graphic, above. In this figure, a stretch reflex is illustrated. The way it works is in this manner: 1) a tendon is stimulated (in this illustra ...
The Use of Cross-Correlation Mapping in Identifying Backwards Projecting Connections between Visual Cortical Areas
The Use of Cross-Correlation Mapping in Identifying Backwards Projecting Connections between Visual Cortical Areas

... The technique pioneered by Sugihara et al [5]–Cross-Correlation Mapping (CCM)–uses the dynamical systems definition of causality. More specifically, CCM constructs shadow manifold for two variables in the proposed system using time-lagged coordinate embedding. That is, CCM creates a shadow manifold ...
Duration Sensitivity to Other Response Properties of the Rat
Duration Sensitivity to Other Response Properties of the Rat

... et al. 2000). Duration-selective neurons have only been found at or above the level of the inferior colliculus (IC) or its homolog in any of the species studied, so this form of neural filtering seems to be an emergent property that results from circuitry operating within the midbrain. The IC is inn ...
Artificial Societies of Intelligent Agents
Artificial Societies of Intelligent Agents

... are always there. They do not require to be modelled, because they are “obvious1”. Reflex behaviours would be action-response-based behaviours, such as the response to a burn, that is to move the injured part from the heating source. We would argue that bacteria’s behaviours are controlled only by r ...
The knowledge level - Research Showcase @ CMU
The knowledge level - Research Showcase @ CMU

... course some substance to such statements. What is indicative of underlying difficulties is our inclination to treat representation like a homunculus, as the locus of real intelligence. A good example is our fascination with problems such as the mutilated checkboard problem (Newell, .1965). The task ...
Olfactory Learning in Drosophila: Learning from Models
Olfactory Learning in Drosophila: Learning from Models

The Knowledge Level
The Knowledge Level

... front [15], but also by the view that we had a general purpose reasoning engine in hand and that doing logic (and doing it well) was a foundation stone of all intelligent action. Within about five years, however, it became clear that this basic engine was not going to be powerful enough to prove the ...
Rostral Fastigial Nucleus Activity in the Alert Monkey During Three
Rostral Fastigial Nucleus Activity in the Alert Monkey During Three

Stochastic neural network dynamics: synchronisation and control
Stochastic neural network dynamics: synchronisation and control

... Biological brains exhibit many interesting and complex behaviours. Understanding of the mechanisms behind brain behaviours is critical for continuing advancement in fields of research such as artificial intelligence and medicine. In particular, synchronisation of neuronal firing is associated with b ...
Combinations of Case-Based Reasoning with Other Intelligent Methods (short paper)
Combinations of Case-Based Reasoning with Other Intelligent Methods (short paper)

... CBR with other intelligent methods. Such combinations are becoming increasingly popular due to the fact that in many application domains a vast amount of case data is available. Such combined approaches have managed to solve problems in application domains where a case-based module needs the assista ...
Update on models of basal ganglia function and dysfunction
Update on models of basal ganglia function and dysfunction

PDF (Recognizing and Discovering Activities of Daily Living in Smart
PDF (Recognizing and Discovering Activities of Daily Living in Smart

... ubiquitous applications in fields like Ambient Assisted Living. Depending on the availability of labeled data, recognition methods can be categorized as either supervised or unsupervised. Designing a comprehensive activity recognition system that works on a real-world setting is extremely challengin ...
PDF - Department of Neurobiology and Behavior
PDF - Department of Neurobiology and Behavior

Timescales of Inference in Visual Adaptation
Timescales of Inference in Visual Adaptation

... nonrectified, the r.m.s. current was fit with the same function. The exponential amplitude A and baseline c did not change significantly as a function of the switching period (not shown). Figure 1E shows the population average time constant as a function of period. The average effective time constan ...
Neural constraints on learning
Neural constraints on learning

Logics for Intelligent Agents and Multi
Logics for Intelligent Agents and Multi

... The beautiful thing is that these logics all have a similar semantics, called possible world or Kripke semantics and revolve around a box operator  and its dual diamond  as additions to classical (propositional or first-order) logic. In a neutral reading the box operator reads as ‘necessarily’ an ...
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Neural modeling fields

Neural modeling field (NMF) is a mathematical framework for machine learning which combines ideas from neural networks, fuzzy logic, and model based recognition. It has also been referred to as modeling fields, modeling fields theory (MFT), Maximum likelihood artificial neural networks (MLANS).This framework has been developed by Leonid Perlovsky at the AFRL. NMF is interpreted as a mathematical description of mind’s mechanisms, including concepts, emotions, instincts, imagination, thinking, and understanding. NMF is a multi-level, hetero-hierarchical system. At each level in NMF there are concept-models encapsulating the knowledge; they generate so-called top-down signals, interacting with input, bottom-up signals. These interactions are governed by dynamic equations, which drive concept-model learning, adaptation, and formation of new concept-models for better correspondence to the input, bottom-up signals.
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