Dementia is a common neurodegenerative condition involving the deterioration of cognitive and communication skills. Pausing in the speech of people with dementia is a dysfluency that may be used to signal conversational trouble in social interaction. This study aimed to examine the speech-pausing profile within picture description samples from people with dementia and healthy controls (HCs) within the DementiaBank database using the Calpy computational speech processing toolkit. Sixty English-speaking participants between the ages of 53 and 88 years (Mage = 67.43, SD = 8.33; 42 females) were included in the study: 20 participants with mild cognitive impairment, 20 participants with moderate cognitive impairment, and 20 HCs. Quantitative analysis shows a progressive increase in the duration of pausing between HCs, the mild dementia group, and the moderate dementia group, respectively.
Abstract. For spiking networks to perform computational tasks, benchmark data sets are required for model design, refinement and testing. Classic machine learning benchmark data sets use classification as the dominant paradigm, however the temporal characteristics of spiking neural networks mean they are likely to be more useful for problems involving sequence data. To support these paradigms, we provide data sets of 11 moving scenes, each with multiple variations, recorded from a dynamic vision sensor (DVS128), comprising high dimensional (16k pixels) and low latency (15 microsecond) events. We also present a novel long range prediction task based on the DVS128 data, and introduce a pilot study of a spiking neural network learning to predict thousands of events into the future.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.