Lecture 8 slides
... • When a query q is asked: – If q is in the knowledge base, return true – Else use resolution for q with other sentences in KB, and continue from the result • Two important properties: – Backward chaining is goal-driven: it centers the reasoning around the query begin asked – It is a lazy reasoning ...
... • When a query q is asked: – If q is in the knowledge base, return true – Else use resolution for q with other sentences in KB, and continue from the result • Two important properties: – Backward chaining is goal-driven: it centers the reasoning around the query begin asked – It is a lazy reasoning ...
Bayesian Ontologies in AI Systems - Department of Information and
... are unavoidable. Automation can also help to control gaming, but each closed loophole spurs innovation to discover another. Additionally, the infeasibility of enforcing a single global standard ontology means that semantic interoperability will continue to be a difficult objective to achieve in an ...
... are unavoidable. Automation can also help to control gaming, but each closed loophole spurs innovation to discover another. Additionally, the infeasibility of enforcing a single global standard ontology means that semantic interoperability will continue to be a difficult objective to achieve in an ...
Effective connectivity of the subthalamic nucleus
... GP-TA, GP-TI and STN neurons in all our computational models. Another innovation in our approach is the inclusion (in only some of the studied models) of a direct thalamic projection to the STN–GP network. We explore this connection because glutamatergic neurons of the intralaminar thalamus, and par ...
... GP-TA, GP-TI and STN neurons in all our computational models. Another innovation in our approach is the inclusion (in only some of the studied models) of a direct thalamic projection to the STN–GP network. We explore this connection because glutamatergic neurons of the intralaminar thalamus, and par ...
From spike frequency to free recall:
... Theories of hippocampal function will only converge on a comprehensive account of a full range of behavioral data when hypotheses are directly presented in terms of physiological and anatomical data, without any distortion by verbal description. Linking these levels requires computational models whi ...
... Theories of hippocampal function will only converge on a comprehensive account of a full range of behavioral data when hypotheses are directly presented in terms of physiological and anatomical data, without any distortion by verbal description. Linking these levels requires computational models whi ...
Visual Object Recognition: Do We Know More Now Than We Did 20
... primary end state of visual processing and a critical precursor to interacting with and reasoning about the world. Thus, the question of how we recognize objects is both perceptual and cognitive, tying together what are often treated as separate disciplines. At the outset, we should state that in sp ...
... primary end state of visual processing and a critical precursor to interacting with and reasoning about the world. Thus, the question of how we recognize objects is both perceptual and cognitive, tying together what are often treated as separate disciplines. At the outset, we should state that in sp ...
Neural Network Structures
... called neurons, and the connections between the neurons are known as links. Every link has a weight parameter associated with it. Each neuron receives stimulus from the neighboring neurons connected to it, processes the information, and produces an output. Neurons that receive stimuli from outside t ...
... called neurons, and the connections between the neurons are known as links. Every link has a weight parameter associated with it. Each neuron receives stimulus from the neighboring neurons connected to it, processes the information, and produces an output. Neurons that receive stimuli from outside t ...
Disentangling pleasure from incentive salience and
... rats. These neurons were either integrative, responding to multiple stimuli (47%), or belonged to dedicated subpopulations that fired to only one stimulus (53%). In the cue-only extinction block of trials, 45% of VP neurons (52/115) fired phasically at the onset of the CS+1 and/or CS+2 cues (23% of th ...
... rats. These neurons were either integrative, responding to multiple stimuli (47%), or belonged to dedicated subpopulations that fired to only one stimulus (53%). In the cue-only extinction block of trials, 45% of VP neurons (52/115) fired phasically at the onset of the CS+1 and/or CS+2 cues (23% of th ...
Document
... Machine learning involves adaptive mechanisms that enable computers to learn from experience, learn by example and learn by analogy. Learning capabilities can improve the performance of an intelligent system over time. The most popular approaches to machine learning are artificial neural networks an ...
... Machine learning involves adaptive mechanisms that enable computers to learn from experience, learn by example and learn by analogy. Learning capabilities can improve the performance of an intelligent system over time. The most popular approaches to machine learning are artificial neural networks an ...
PDF
... future rewards. These results are consistent with current conceptualizations of orbitofrontal cortex as supporting model-based behavior and suggest an unexpected role for this information in dopaminergic error signaling. Midbrain dopamine neurons signal errors in reward prediction1–3. These error si ...
... future rewards. These results are consistent with current conceptualizations of orbitofrontal cortex as supporting model-based behavior and suggest an unexpected role for this information in dopaminergic error signaling. Midbrain dopamine neurons signal errors in reward prediction1–3. These error si ...
Elapsed Decision Time Affects the Weighting of Prior
... Wurtz, 1998; Platt and Glimcher, 1999). However, it is unclear how the brain combines this type of representation of prior probability with other sources of information, which may confer more or less leverage on the decision. Some information sources are more reliable than others. For example, sampl ...
... Wurtz, 1998; Platt and Glimcher, 1999). However, it is unclear how the brain combines this type of representation of prior probability with other sources of information, which may confer more or less leverage on the decision. Some information sources are more reliable than others. For example, sampl ...
the resonate-and-fire neuron: time dependent and frequency
... to learn to perform certain desired tasks. The thesis represents a culmination of our endeavors over the past two years to understand nervous system function, and to reflect on the principles that govern engineered as well as living systems. I am grateful to Bucknell University and the Department of ...
... to learn to perform certain desired tasks. The thesis represents a culmination of our endeavors over the past two years to understand nervous system function, and to reflect on the principles that govern engineered as well as living systems. I am grateful to Bucknell University and the Department of ...
