A Novel Connectionist System for Unconstrained Handwriting
... rely on the same hidden Markov models that have been used for decades in speech and handwriting recognition, despite their well-known shortcomings. This paper proposes an alternative approach based on a novel type of recurrent neural network, specifically designed for sequence labelling tasks where ...
... rely on the same hidden Markov models that have been used for decades in speech and handwriting recognition, despite their well-known shortcomings. This paper proposes an alternative approach based on a novel type of recurrent neural network, specifically designed for sequence labelling tasks where ...
Matching tutor to student: rules and mechanisms for
... tutor provides a signal that guides plasticity at the conductor–student synapses. For simplicity, we assumed that the conductor always presents the input patterns in the same order, and without repetitions. This allowed us to use the time t to label input patterns, making it easier to analyze the on ...
... tutor provides a signal that guides plasticity at the conductor–student synapses. For simplicity, we assumed that the conductor always presents the input patterns in the same order, and without repetitions. This allowed us to use the time t to label input patterns, making it easier to analyze the on ...
events:knowledge-workshop-iros2011:tikanmaki.pdf (340.2 KB)
... transformation between parent and children coordinate systems, and therefore, one essential method for Markers is the way coordinates are transformed to other coordinate system. For 3D markers and dynamic models, 6D spatial vectors called Plücker basis vectors [12] are used, which combines translati ...
... transformation between parent and children coordinate systems, and therefore, one essential method for Markers is the way coordinates are transformed to other coordinate system. For 3D markers and dynamic models, 6D spatial vectors called Plücker basis vectors [12] are used, which combines translati ...
- Hayden Lab
... found a significant positive correlation between these coefficients (r = 0.25, p = 0.0023) (Figure 3A). We confirmed that this correlation is significant using a bootstrap (and thus, nonparametric) correlation test (p = 0.0155; see Experimental Procedures). These effects were even stronger using a 5 ...
... found a significant positive correlation between these coefficients (r = 0.25, p = 0.0023) (Figure 3A). We confirmed that this correlation is significant using a bootstrap (and thus, nonparametric) correlation test (p = 0.0155; see Experimental Procedures). These effects were even stronger using a 5 ...
Visualizing Inference Henry Lieberman and Joe Henke MIT Media Lab
... In the Concept view, nodes represent Concepts (like elements of an ontology), and links represent similarity between concepts. Link thickness represents the degree of similarity, and lines exert a proportional spring-like “force” in the dynamic graph pulling its nodes closer (working against a repel ...
... In the Concept view, nodes represent Concepts (like elements of an ontology), and links represent similarity between concepts. Link thickness represents the degree of similarity, and lines exert a proportional spring-like “force” in the dynamic graph pulling its nodes closer (working against a repel ...
Hypothalamus and Limbic System
... results from lesion studies may have been due to damage of fibers of passage rather than due to loss of cell bodies in distinct parts of the hypothalamus. • In particular, hypothalamus lesions may damage fibers of: – the trigeminal system which affect sensory processing important for feeding – Dopam ...
... results from lesion studies may have been due to damage of fibers of passage rather than due to loss of cell bodies in distinct parts of the hypothalamus. • In particular, hypothalamus lesions may damage fibers of: – the trigeminal system which affect sensory processing important for feeding – Dopam ...
PDF
... P2X2 channels expressed selectively in circumscribed groups of cells (Zemelman et al., 2003; Lima and Miesenböck, 2005). When targeted optical activation of dopaminergic neurons in TH-GAL4:UAS-P2X2 flies (Friggi-Grelin et al., 2003; Lima and Miesenböck, 2005) was made contingent upon entry into on ...
... P2X2 channels expressed selectively in circumscribed groups of cells (Zemelman et al., 2003; Lima and Miesenböck, 2005). When targeted optical activation of dopaminergic neurons in TH-GAL4:UAS-P2X2 flies (Friggi-Grelin et al., 2003; Lima and Miesenböck, 2005) was made contingent upon entry into on ...
A tutorial on using the rminer R package for data mining tasks*
... This tutorial explores the rminer package of the R tool. Rather than providing state-of-the-art predictive performances and producing code that might require an heavy computation (due to a high number of model trainings and comparisons), the goal is to show simple demonstration code examples for exe ...
... This tutorial explores the rminer package of the R tool. Rather than providing state-of-the-art predictive performances and producing code that might require an heavy computation (due to a high number of model trainings and comparisons), the goal is to show simple demonstration code examples for exe ...
On-line Error Analysis Using AI techniques A first sight
... Factual knowledge is that knowledge of the task domain that is widely shared, typically found in textbooks or journals, and commonly agreed upon by those knowledgeable in the particular field. Heuristic knowledge is the less rigorous, more experiential, more judgmental knowledge of performance. In c ...
... Factual knowledge is that knowledge of the task domain that is widely shared, typically found in textbooks or journals, and commonly agreed upon by those knowledgeable in the particular field. Heuristic knowledge is the less rigorous, more experiential, more judgmental knowledge of performance. In c ...
Changes in GABA Modulation During a Theta Cycle May Be
... If a1 is active and a2 is receiving biasing input, then the system has only two possible final states: for low Abias , both a2 and a3 are active, whereas for Abias sufficiently large, only a2 is active in the final state, so sequence disambiguation is successful. We found the minimum Abias necessary ...
... If a1 is active and a2 is receiving biasing input, then the system has only two possible final states: for low Abias , both a2 and a3 are active, whereas for Abias sufficiently large, only a2 is active in the final state, so sequence disambiguation is successful. We found the minimum Abias necessary ...
Encoding of Movement Fragments in the Motor Cortex
... A silicon-based electrode array composed of 100 electrodes (1.0 mm electrode length; 400 m interelectrode separation) was implanted in the arm area of the primary motor cortex (MI) of each monkey. During a recording session, signals from up to 96 electrodes were amplified (gain, 5000), bandpass fil ...
... A silicon-based electrode array composed of 100 electrodes (1.0 mm electrode length; 400 m interelectrode separation) was implanted in the arm area of the primary motor cortex (MI) of each monkey. During a recording session, signals from up to 96 electrodes were amplified (gain, 5000), bandpass fil ...
A Neural Schema Architecture for Autonomous Robots
... robotic agent taking the place of the toad. At the highest level, model behavior is described by means of schema specifications. The complete model at this level is described by a network of interconnected schemas as shown in Figure 12: The model consists of visual and tactile sensory input, percept ...
... robotic agent taking the place of the toad. At the highest level, model behavior is described by means of schema specifications. The complete model at this level is described by a network of interconnected schemas as shown in Figure 12: The model consists of visual and tactile sensory input, percept ...
Large-scale spatiotemporal spike patterning consistent with
... rostro–caudal axis. The distribution of propagation speeds was always unimodal with means and medians ranging from 23.2 to 26.7 and from 10.1 to 13.5 cm s 1, respectively (Fig. 1e). To investigate spatiotemporal patterns of spiking activity (see Supplementary Figs. 1 and 2b,d,f for many examples o ...
... rostro–caudal axis. The distribution of propagation speeds was always unimodal with means and medians ranging from 23.2 to 26.7 and from 10.1 to 13.5 cm s 1, respectively (Fig. 1e). To investigate spatiotemporal patterns of spiking activity (see Supplementary Figs. 1 and 2b,d,f for many examples o ...
Sample pages 2 PDF
... destined to package different neurotransmitters? Are they tagged? How does the secretory mechanism work when there are two or more neurotransmitters to be released? Are there different release sites for each neurotransmitter? Is the release machinery the same for the different populations of vesicle ...
... destined to package different neurotransmitters? Are they tagged? How does the secretory mechanism work when there are two or more neurotransmitters to be released? Are there different release sites for each neurotransmitter? Is the release machinery the same for the different populations of vesicle ...
Learning Abductive Reasoning Using Random Examples
... ¬engine running ¬gas in tank So, key turned ∧ ¬gas in tank may be a sufficiently plausible explanation for key turned ∧ ¬engine running. We will return to this example when we discuss our algorithms. We can refer directly to notions of (approximate) “validity” and “entailment” in this model becaus ...
... ¬engine running ¬gas in tank So, key turned ∧ ¬gas in tank may be a sufficiently plausible explanation for key turned ∧ ¬engine running. We will return to this example when we discuss our algorithms. We can refer directly to notions of (approximate) “validity” and “entailment” in this model becaus ...
PDF file
... This category alone appears also insufficient, as it has misled researchers to handcraft static symbolic models which we will discuss below. The resulting machines cannot override the static symbols and they become brittle in the real world [e.g., the symbolic hyper-graph of artificial general intel ...
... This category alone appears also insufficient, as it has misled researchers to handcraft static symbolic models which we will discuss below. The resulting machines cannot override the static symbols and they become brittle in the real world [e.g., the symbolic hyper-graph of artificial general intel ...
The language of action: verbs, simulation and motor chains
... unified theoretical accounts of these phenomena. We consider theoretical cumulativity the most significant added value that the computational models can produce with respect to our understanding of cognition, behaviour, and brain (the need to produce general theories is in line with what stated by o ...
... unified theoretical accounts of these phenomena. We consider theoretical cumulativity the most significant added value that the computational models can produce with respect to our understanding of cognition, behaviour, and brain (the need to produce general theories is in line with what stated by o ...
Realistic synaptic inputs for model neural networks
... solve the firing rate problem. I will assume for simplicity that all synapses lie on the dendritic tree of the model neuron and not on its soma, although somatic inputs could easily be included. The general structure of clle model neuron is shown in figure 2 ( a ) . Since the synaptic inputs are loc ...
... solve the firing rate problem. I will assume for simplicity that all synapses lie on the dendritic tree of the model neuron and not on its soma, although somatic inputs could easily be included. The general structure of clle model neuron is shown in figure 2 ( a ) . Since the synaptic inputs are loc ...
Spike-timing-dependent plasticity: common themes
... neuron that is not part of the correlated group (Fig. 3C). From this perspective, STDP strengthens only the synapses of the most correlated inputs. At this stage of the development of a column, activity originates in the input layer, passes unto the correlated group of neurons, and then unto other n ...
... neuron that is not part of the correlated group (Fig. 3C). From this perspective, STDP strengthens only the synapses of the most correlated inputs. At this stage of the development of a column, activity originates in the input layer, passes unto the correlated group of neurons, and then unto other n ...
From Diagrams to Design: Overcoming Knowledge Georgia Institute of Technology, USA
... them. Not only does this make case acquisition difficult and time consuming, but it may also introduce unanticipated biases and limitations into the system. Perhaps the most obvious limitation is that hand crafting takes valuable time and requires skilled knowledge engineers. While a prototype syste ...
... them. Not only does this make case acquisition difficult and time consuming, but it may also introduce unanticipated biases and limitations into the system. Perhaps the most obvious limitation is that hand crafting takes valuable time and requires skilled knowledge engineers. While a prototype syste ...
Representing Tuple and Attribute Uncertainty in Probabilistic
... Now we can represent the two ground factors using a single ParFactor F =< {I}, {VType ,VModel ,VMPG }, φ > where φ is essentially the function shown in Figure 1(b), for instance, φ (VType = Hybrid,VModel = Civic,VMPG = 45) = 0.4. Grounding out F we get the same two factors over the ground random var ...
... Now we can represent the two ground factors using a single ParFactor F =< {I}, {VType ,VModel ,VMPG }, φ > where φ is essentially the function shown in Figure 1(b), for instance, φ (VType = Hybrid,VModel = Civic,VMPG = 45) = 0.4. Grounding out F we get the same two factors over the ground random var ...