• Lokendra Shastri. A Computational Model of Tractable Reasoning – taking inspiration from cognition. Proceedings of the 13th International Joint Conference on Artificial Intelligence, 1993.
• Lokendra Shastri and Venkat Ajjanagadde. From simple associations to systematic reasoning: A connectionist representation of rules, variables and dynamic bindings using temporal synchrony. Behavioral and Brain Sciences, 16(3):417–451, 1993. (doi:10.1017/S0140525X00030910)
• D. R. Mani and Lokendra Shastri. Massively Parallel Simulation of Structured Connectionist Networks: An Interim Report. Technical Report, 1994.
• D. R. Mani. The Design and Implementation of Massively Parallel Knowledge Representation and Reasoning Systems: A Connectionist Approach. PhD Thesis, 1995.
• Lokendra Shastri and D. J. Grannes. Dealing with negated knowledge and inconsistency in a neurally motivated model of memory and reflexive reasoning. Technical Report TR-95-041, 1995.
• Lokendra Shastri and Dean J. Grannes. A connectionist treatment of negation and inconsistency. In Proceedings of the Eighteenth Conference of the Cognitive Science Society, 1996.
• Lokendra Shastri. Rapid learning of binding-match and binding-error detector circuits via long-term potentiation. Technical Report TR-97-037, 1997.
• Lokendra Shastri and D. R. Mani. Massively parallel knowledge representation and reasoning: Taking a cue from the brain. Machine Intelligence and Pattern Recognition, 20:3–40, 1997. (doi:10.1016/S0923-0459(97)80003-1)
• Lokendra Shastri. Types and Quantifiers in SHRUTI - a connectionist model of rapid reasoning and relational processing. In International Workshop on Hybrid Neural Systems, 1998.
• Lokendra Shastri. A Biological Grounding of Recruitment Learning and Vicinal Algorithms. Technical Report TR-99-009, 1999.
• Lokendra Shastri. Advances in SHRUTI - a neurally motivated model of relational knowledge representation and rapid inference using temporal synchrony. Applied Intelligence, 11(1):79–108, 1999. (doi:10.1023/A:1008380614985)
• Lokendra Shastri and Shawn Chang. A Spatiotemporal Connectionist Model of Algebraic Rule-Learning. Technical Report TR-99-011, 1999.
• Marvin S. Cohen, Bryan B. Thompson, Leonard Adelman, Terry A. Bresnick, Lokendra Shastri, and Sharon L. Riedel. Training Critical Thinking for the Battlefield. Volume II: Training System and Evaluation. TECHNICAL REPORT 00-2, 2000.
• Max Garagnani, L. Shastri, and C. Wendelken. A Connectionist model of Planning via Back-chaining Search. Memory, 1, 2001.
• Lokendra Shastri. Biological Grounding of Recruitment Learning and Vicinal Algorithms in Long-term Potentiation. In J. Austin, S. Wermter, and D. Wilshaw, editors, Emergent neural computational architectures based on neuroscience. Lecture Notes in Computer Science, Lecture Notes in Artificial Intelligence, pages 53–76. Springer-Verlag, Berlin, 2001. (doi:10.1007/3-540-44597-8)
• Lokendra Shastri. From transient patterns to persistent structures: A model of episodic memory formation via cortico-hippocampal interactions. Behavioral and Brain Sciences, 2001.
• Carter Wendelken. SHRUTI-agent: a structured connectionist model of decision-making. In Proceedings of the Fourth Annual Conference on Cognitive Modeling, 2001.
• Charan Ranganath, Lokendra Shastri, and Mark D'Esposito. A new view of the medial temporal lobes and the structure of memory. Technical Report TR-02-001, (510), 2002.
• Lokendra Shastri, Dean Grannes, Srini Narayanan, and Jerome Feldman. A Connectionist Encoding of Parameterized Schemas and Reactive Plans. Hybrid information processing in adaptive autonomous vehicles, 2002.
• Carter Wendelken and Lokendra Shastri. Combining belief and utility in a structured connectionist agent architecture. In Proceedings of the Twenty-Fourth Annual Conference of the Cognitive Science Society, 2002.
• L. Shastri. The role of temporal coding in the processing of relational information in the mind-brain. In Proceedings of the International Joint Conference on Neural Networks, 2003., 2003. (doi:10.1109/IJCNN.2003.1223897)
• Lokendra Shastri. Inference in Connectionist Networks, 2003.
• Lokendra Shastri and Carter Wendelken. Learning structured representations. Neurocomputing, 52-54:363–370, 2003. (doi:10.1016/S0925-2312(02)00840-8)
• John Carter Wendelken. SHRUTI-agent: A structured connectionist architecture for reasoning and decision-making.. PhD Thesis, 2003.
• Carter Wendelken and Lokendra Shastri. Acquisition of concepts and causal rules in SHRUTI Causal Hebbian learning. In Proceedings of Cognitive Science, pages 1224–1229, 2003.
• Carter Wendelken and Lokendra Shastri. Multiple instantiation and rule mediation in SHRUTI. Connection Science, 16(3):211–217, 2004. (doi:10.1080/09540090412331311932)
• Carter Wendelken and Lokendra Shastri. Connectionist mechanisms for cognitive control. Neurocomputing, 65-66:663–672, 2005. (doi:10.1016/j.neucom.2004.10.095)
• Frank van der Velde and Marc de Kamps. Neural blackboard architectures of combinatorial structures in cognition. The Behavioral and brain sciences, 29(1):37–70; discussion 70–108, 2006. (doi:10.1017/S0140525X06009022)
• Lokendra Shastri. A neural architecture for reasoning, decision-making, and episodic memory: Taking a cue from the brain. In Proceedings of the 3rd International Conference on Neural-Symbolic Learning and Reasoning, volume 230, 2007.
• Lokendra Shastri. SHRUTI: A neurally motivated architecture for rapid, scalable inference. In Studies in Computational Intelligence, pages 183–203. Springer Berlin Heidelberg, 2007. (doi:10.1007/978-3-540-73954-8_8)
• Joe Townsend, Ed Keedwell, and Antony Galton. Evolution of Connections in SHRUTI Networks. In Proceedings of the 9th International Workshop on Neural-Symbolic Learning and Reasoning, pages 56–51, 2013.