Optimality Theory and Human Sentence Processing: The Case of Coordination
... used, the first of which was temporarily ambiguous, whereas the latter served as a control sentence, made unambiguous by inserting a comma after the first object NP (Hoeks et al., 2002). Underlined is the critical verb opened which forces an S-coordination reading, where the photographer in (2a) is ...
... used, the first of which was temporarily ambiguous, whereas the latter served as a control sentence, made unambiguous by inserting a comma after the first object NP (Hoeks et al., 2002). Underlined is the critical verb opened which forces an S-coordination reading, where the photographer in (2a) is ...
Chapter 2 Intrinsic Dynamics of an Excitatory
... The present chapter examines the discrete-time dynamics of such coupled neuron pairs with four different types of nonlinear activation functions. The complex dynamical behavior of the system is generic for the different types of activation functions considered here. Features specific to each of the ...
... The present chapter examines the discrete-time dynamics of such coupled neuron pairs with four different types of nonlinear activation functions. The complex dynamical behavior of the system is generic for the different types of activation functions considered here. Features specific to each of the ...
Auditory Nerve Stochasticity Impedes Category Learning: the Role
... different exemplars of the same stimulus class. CT learning then binds these similar ...
... different exemplars of the same stimulus class. CT learning then binds these similar ...
NEST: An Environment for Neural Systems Simulations
... itself generate a spike, however, details vary considerably between different neuron models. More models agree on the concept that the time-course of an action potential can be neglected, and thus the interaction between neurons can be described by the exchange of point events. The standard approach ...
... itself generate a spike, however, details vary considerably between different neuron models. More models agree on the concept that the time-course of an action potential can be neglected, and thus the interaction between neurons can be described by the exchange of point events. The standard approach ...
The Nervous System
... 1. A neuron and a nerve are structurally the same thing. 2. An axon is about 0.1mm long. 3. The transmission of a message within a neuron is electrochemical. 4. The release of NT’s occurs at the axon. 5. Axons are coated with myelin in order to protect them from damage. 6. A synapse is a gap between ...
... 1. A neuron and a nerve are structurally the same thing. 2. An axon is about 0.1mm long. 3. The transmission of a message within a neuron is electrochemical. 4. The release of NT’s occurs at the axon. 5. Axons are coated with myelin in order to protect them from damage. 6. A synapse is a gap between ...
PDF - Bentham Open
... with an approximately linear response at the physiological range. LOOK-UP TABLE Because these I/O functions are rather simple, which map the input space into the output space by some straightforward mapping functions (or look-up tables), these basic reflexes are usually not considered as representin ...
... with an approximately linear response at the physiological range. LOOK-UP TABLE Because these I/O functions are rather simple, which map the input space into the output space by some straightforward mapping functions (or look-up tables), these basic reflexes are usually not considered as representin ...
Insect hearing: from physics to ecology - Karl-Franzens
... the antennae of mosquitoes or Drosophila since the velocity vector is inherently directional. However, for small animals relying on tympanic ears as, e.g., grasshoppers, crickets, katydids, cicadas, and mantises, sound localization becomes a problem: the small ear distances create only minute intera ...
... the antennae of mosquitoes or Drosophila since the velocity vector is inherently directional. However, for small animals relying on tympanic ears as, e.g., grasshoppers, crickets, katydids, cicadas, and mantises, sound localization becomes a problem: the small ear distances create only minute intera ...
Generative Inferences Based on Learned Relations
... autonomously created (rather than hand-coded by the modeler) and are of realistic complexity. When a model of relation learning is forced to operate on realistic inputs, theoretical issues that might have gone unnoticed with simpler inputs are more likely to be brought to the fore. We recently devel ...
... autonomously created (rather than hand-coded by the modeler) and are of realistic complexity. When a model of relation learning is forced to operate on realistic inputs, theoretical issues that might have gone unnoticed with simpler inputs are more likely to be brought to the fore. We recently devel ...
Insights into decision making using choice probability
... is calculated, we discuss recent work that addresses the questions posed above. We review evidence revealing that many brain areas show significant CPs but that the values are typically low. Two important research directions developed from this curious observation: first, are there task or stimulus ...
... is calculated, we discuss recent work that addresses the questions posed above. We review evidence revealing that many brain areas show significant CPs but that the values are typically low. Two important research directions developed from this curious observation: first, are there task or stimulus ...
(1996). "A multi-threshold neural network for frequency estimation,"
... also dier in their spontaneous ring rates, and in their response thresholds. These response differences suggest that auditory sound coding could be based on more than just the CF of the neurons. In fact, physiological experiments demonstrate that when stimulated by a complex sound, bres with low ...
... also dier in their spontaneous ring rates, and in their response thresholds. These response differences suggest that auditory sound coding could be based on more than just the CF of the neurons. In fact, physiological experiments demonstrate that when stimulated by a complex sound, bres with low ...
Probabilistic State-Dependent Grammars for Plan
... generate hypotheses about which top-level plan or intermediate subplans the agent has selected, or which low-level actions it will perform in the future. The resulting candidates, as well as possible evaluations of their plausibilities, form the basis for decisions on potential interactions with the ...
... generate hypotheses about which top-level plan or intermediate subplans the agent has selected, or which low-level actions it will perform in the future. The resulting candidates, as well as possible evaluations of their plausibilities, form the basis for decisions on potential interactions with the ...
Representation of Number in Animals and Humans: A Neural Model
... strongly to) a specific number of objects. The critical properties of these number-selective neurons are the following. First, they act like filters over numerosity: Neurons that are most responsive to a particular numerosity x also react somewhat weaker to numerosities x 1 and x + 1, still somew ...
... strongly to) a specific number of objects. The critical properties of these number-selective neurons are the following. First, they act like filters over numerosity: Neurons that are most responsive to a particular numerosity x also react somewhat weaker to numerosities x 1 and x + 1, still somew ...
Data mining
... The chromosome should in some way contain information about solution which it represents. The most used way of encoding is a binary string. Chromosome 1 1101100100110110 Chromosome 2 1101111000011110 Each bit in this string can represent some characteristic of the solution. One can encode directly ...
... The chromosome should in some way contain information about solution which it represents. The most used way of encoding is a binary string. Chromosome 1 1101100100110110 Chromosome 2 1101111000011110 Each bit in this string can represent some characteristic of the solution. One can encode directly ...
Remapping of Border Ownership in the Visual Cortex
... the fovea, the high-resolution center of the retina. When we inspect, for example, a sculpture for 10 s, our gaze sequentially visits 30 – 40 points, and, because the RFs are fixed on the retina, each neuron is presented with a new patch of the image at every new fixation. At one time, it will see f ...
... the fovea, the high-resolution center of the retina. When we inspect, for example, a sculpture for 10 s, our gaze sequentially visits 30 – 40 points, and, because the RFs are fixed on the retina, each neuron is presented with a new patch of the image at every new fixation. At one time, it will see f ...
Automatic Detection and Correction for Chinese Misspelled Words
... constituents in the database, and each unit of a character is linked by their spatial relations. There are 11 types of spatial relations, such as vertical combination and horizontal combination. Through the database, a Chinese character can be converted into a series of branch-like structure consist ...
... constituents in the database, and each unit of a character is linked by their spatial relations. There are 11 types of spatial relations, such as vertical combination and horizontal combination. Through the database, a Chinese character can be converted into a series of branch-like structure consist ...
Event-Driven Simulation Scheme for Spiking Neural Networks Using
... Mattia and Del Guidice (2000) used a fixed structure (called a synaptic matrix) for storing synaptic delays. This is suited only for handling a fixed number of latencies. In contrast, our simulation needed to support arbitrary synaptic delays. This required that each spike transmitted between two ce ...
... Mattia and Del Guidice (2000) used a fixed structure (called a synaptic matrix) for storing synaptic delays. This is suited only for handling a fixed number of latencies. In contrast, our simulation needed to support arbitrary synaptic delays. This required that each spike transmitted between two ce ...
Neural-Symbolic Learning and Reasoning: Contributions and
... examples of the logical expressions arrive with values for only part of the input space. This suggests that a Lifelong Machine Learning (LML) approach is needed that can consolidate the knowledge of individual examples over many learning episodes (Silver, 2013a; Fowler, 2011). The consolidation of l ...
... examples of the logical expressions arrive with values for only part of the input space. This suggests that a Lifelong Machine Learning (LML) approach is needed that can consolidate the knowledge of individual examples over many learning episodes (Silver, 2013a; Fowler, 2011). The consolidation of l ...