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Lokendra Shastri [9]L. C. Shastri [1]L. Shastri [1]
  1. Lokendra Shastri (forthcoming). From Transient Patterns to Persistent Structure: A Model of Episodic Memory Formation Via Cortico-Hippocampal Interactions. Behavioral and Brain Sciences.
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  2. Lokendra Shastri (2006). Comparing the Neural Blackboard and the Temporal Synchrony-Based SHRUTI Architectures. Behavioral and Brain Sciences 29 (1):84-86.
    Contrary to the assertions made in the target article, temporal synchrony, coupled with an appropriate choice of representational primitives, leads to a functionally adequate and neurally plausible architecture that addresses the massiveness of the binding problem, the problem of 2, the problem of variables, and the transformation of activity-based transient representations of events and situations into structure-based persistent encodings of the same.
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  3. Jerome A. Feldman & Lokendra Shastri (2003). Connectionism. In L. Nadel (ed.), Encyclopedia of Cognitive Science. Nature Publishing Group.
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  4. Lokendra Shastri (2003). Spreading‐Activation Networks. In L. Nadel (ed.), Encyclopedia of Cognitive Science. Nature Publishing Group.
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  5. L. C. Shastri (2002). Indian Philosophy of Knowledge: Comparative Study. Global Vision Pub. House.
     
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  6. Lokendra Shastri (2002). Episodic Memory and Cortico-Hippocampal Interactions. Trends in Cognitive Sciences 6 (4):162-168.
  7. Lokendra Shastri (2000). An Extended Local Connectionist Manifesto: Embracing Relational and Procedural Knowledge. Behavioral and Brain Sciences 23 (4):492-493.
    Page has performed an important service by dispelling several myths and misconceptions concerning the localist approach. The localist position and computational model presented in the target article, however, are overly restrictive and do not address the representation of complex conceptual items such as events, situations, actions, and plans. Working toward the representation of such items leads to a more sophisticated and articulated view of the localist approach.
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  8. Lokendra Shastri (1996). Temporal Synchrony, Dynamic Bindings, and Shruti: A Representational but Nonclassical Model of Reflexive Reasoning. Behavioral and Brain Sciences 19 (2):331.
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  9. L. Shastri & V. Ajjanagadde (1993). From Simple Associations to Systematic Reasoning: A Connectionist Representation of Rules, Variables, and Dynamic Binding Using Temporal Synchrony. Behavioral and Brain Sciences 16 (3):417-51.
    Human agents draw a variety of inferences effortlessly, spontaneously, and with remarkable efficiency – as though these inferences were a reflexive response of their cognitive apparatus. Furthermore, these inferences are drawn with reference to a large body of background knowledge. This remarkable human ability seems paradoxical given the complexity of reasoning reported by researchers in artificial intelligence. It also poses a challenge for cognitive science and computational neuroscience: How can a system of simple and slow neuronlike elements represent a large (...)
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  10. Lokendra Shastri & Venkat Ajjanagadde (1993). A Step Toward Modeling Reflexive Reasoning. Behavioral and Brain Sciences 16 (3):477.
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  11. Lokendra Shastri (1988). A Connectionist Approach to Knowledge Representation and Limited Inference. Cognitive Science 12 (3):331-392.
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