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Spiking neurons and synaptic stimuli: Neural response comparison using coincidence-factor (2009)
Book Chapter
Sarangdhar, M., & Kambhampati, C. (2009). Spiking neurons and synaptic stimuli: Neural response comparison using coincidence-factor. In S. Ao, & L. Gelman (Eds.), Lecture Notes in Electrical Engineering; Advances in Electrical Engineering and Computational Science (681-692). Springer Verlag. https://doi.org/10.1007/978-90-481-2311-7_58

In this chapter, neural responses are generated by changing the Inter-Spike-Interval (ISI) of the stimulus. These responses are subsequently compared and a coincidence factor is obtained. Coincidence-factor, a measure of similarity, is expected to ge... Read More about Spiking neurons and synaptic stimuli: Neural response comparison using coincidence-factor.

Enabling personalised learning through formative and summative assessment (2009)
Book Chapter
Gordon, N. A. (2009). Enabling personalised learning through formative and summative assessment. Technology-Supported Environments for Personalized Learning: Methods and Case Studies (268-284). Information Science Publishing. https://doi.org/10.4018/978-1-60566-884-0.ch015

This chapter considers some ways in which personalised learning can potentially be delivered by means of appropriate assessment and the use of associated technologies. Recognising that for many students, learning is driven by summative assessment, th... Read More about Enabling personalised learning through formative and summative assessment.

Generating and verifying risk prediction models using data mining (2009)
Book Chapter
Davis, D. N., & Nguyen, T. T. (2009). Generating and verifying risk prediction models using data mining. In P. Berka, J. Rauch, & D. Abdelkader Zighed (Eds.), Data mining and medical knowledge management: cases and applications (181-205). Hershey, Pa.: IGI Global. https://doi.org/10.4018/978-1-60566-218-3.ch009

Risk prediction models are of great interest to clinicians. They offer an explicit and repeatable means to aide the selection, from a general medical population, those patients that require a referral to medical consultants and specialists. In many m... Read More about Generating and verifying risk prediction models using data mining.