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Neuroscience Meets Cryptography: Designing Crypto Primitives Secure Against Rubber Hose Attacks
Bojinov, H., Sanchez, D., Reber, P., Boneh, D., & Lincoln, P.
Cryptographic systems often rely on the secrecy of cryptographic keys given to users. However, many schemes cannot resist coercion attacks where the user is forcibly asked by an attacker to reveal the key. These attacks, known as rubber hose cryptanalysis, are often the easiest way to defeat cryptography. We present a new approach to protecting against coercion attacks using the concept of implicit learning from cognitive psychology. Implicit learning refers to learning of patterns without any conscious knowledge of the learned pattern. We use a carefully crafted computer game to plant a secret password in the participant’s brain without the participant having any conscious knowledge of the trained password. While the planted secret can be used for authentication, the participant cannot be coerced into revealing it since he or she has no conscious knowledge of it. We performed a number of user studies using Amazon’s Mechanical Turk to verify that participants can successfully re-authenticate over time and that they are unable to reconstruct or even recognize short fragments of the planted secret.
Posted by Danny
The Effect of Ego Depletion on Implicit Skill Learning
Sanchez, D.J., Wesley, A.H., & Reber, P.J.
Although implicit skill learning occurs incidentally and without conscious awareness of what is learned, the rate and effectiveness of learning may still be affected by variation in the cognitive state of the learner during practice. Ego depletion theory states that humans possess a limited store of cognitive resources that, when depleted, results in deficits in self-regulation and cognitive control. While the specific mechanism of ego depletion is not known, its effects on processes associated with dopaminergic function suggest the possibility that ego depletion might affect the dopamine-gated plasticity that is hypothesized to support implicit sequential skill learning. In a first experiment this idea was tested using an assessment of pre-experimental depletion given prior to training on the Serial Interception Skill Learning (SISL) task and relative depletion state was found to predict implicit learning rate. In a second experiment, ego depletion was manipulated by having participants complete a depleting task prior to a standard implicit learning protocol. Depleted participants exhibited less learning than did non-depleted controls. In a third experiment, depletion was administered after training and was not found to interfere with skilled performance, suggesting the effect of ego depletion is specific to learning. These results indicate that in both training and educational contexts, ego depletion should be avoided prior to practice to maximize training gains even from rote or repetitive practice.
Submitted to CABN.
Posted by Danny
Explicit pre-training instruction does not improve implicit perceptual-motor sequence learning
Sanchez, D.J. & Reber, P.J.
Skills are typically learned by initial explicit instruction followed by repetitive practice to hone and improve performance. Memory systems theory provides a framework for characterizing the basis of this process whereby declarative memory plays a large initial role in instruction and implicit learning subsequently becomes important during practice. However, prior studies dissociating these two types of memory have not indicated how these systems interact during the skill learning process. The types of memory could operate largely independently, with explicit memory merely providing an initial scaffolding to guide future practice. Alternately, there could be cooperative interactions between the systems by which they form a shared representation that drives performance. Using an implicit perceptual-motor sequence learning task, skill learning was compared when explicit instruction was available or under typical incidental learning conditions. In Experiment 1, sequence pre-instruction did not lead to improved skill learning, but explicit memory for the sequence was poor after practice. In Experiment 2, improved instruction led to better explicit knowledge, but as in Experiment 1, sequence learning was robust and equivalent for both conditions. The lack of an instruction benefit suggests that during skill learning, implicit and explicit memory operate independently. Initial instruction appears to mainly serve to guide initial action sequence performance so that it can be made faster, more accurate and more fluid by implicit learning during repetitive practice.
Submitted to Memory & Cognition
Posted by Danny
Operating Characteristics of the Implicit Learning System supporting Serial Interception Sequence Learning
Sanchez, D.J. & Reber, P.J. (in press). Journal of Experimental Psychology: Human Perception and Performance.
The memory system that supports implicit perceptual-motor sequence is thought to rely primarily on cortico-striatal circuits connecting the basal ganglia and cortical areas involved in motor planning and control. To examine the role of informational constraints on the implicit sequence learning mechanism and the supporting neural systems, participants performed the Serial Interception Sequence Learning (SISL) task with covertly embedded repeating sequences ranging from 30 to 60 (Experiment 1) and 60 to 90 (Experiment 2) items in length. Robust sequence-specific learning was observed for sequences up to 80 items in length, extending the known capacity of this learning system. In Experiment 3, 12-item repeating sequences were embedded among increasing amounts of irrelevant non-repeating sequences (from 20% to 80% of training trials). The irrelevant trials were not found to slow learning of the embedded repeating sequence. Across all 3 experiments, sequence learning was found to be remarkably linear with the logarithm of the number of sequence repetitions experienced during training. The consistency in learning rate across experiments and conditions implies that the cortico-striatal mechanism supporting implicit sequence learning is not capacity-constrained by very long sequences nor adversely affected by high rates of irrelevant novel sequences during training.
Posted by Danny
Neural Correlates of Skill Acquisition: Decreased Cortical Activity During a Serial Interception Sequence Learning Task
Gobel, E.W., Parrish, T.B., & Reber, P.J. (2011). NeuroImage.
Learning of complex motor skills requires learning of component movements as well as the sequential structure of their order and timing. Using a Serial Interception Sequence Learning (SISL) task, participants learned a sequence of precisely timed interception responses through training with a repeating sequence. Functional MRI data were collected during performance of the known sequence and compared with activity evoked during novel sequences of actions, novel timing patterns, or both. Reduced activity was observed during the practiced sequence in a distributed bilateral network including extrastriate occipital, parietal, and premotor cortical regions. These reductions in evoked activity likely reflect improved efficiency in visuospatial processing, spatio-motor integration, motor planning, and motor execution for the trained sequence, which is likely supported by nondeclarative skill learning. In addition, the practiced sequence evoked increased activity in the left ventral striatum and medial prefrontal cortex, while the posterior cingulate was more active during periods of better performance. Many prior studies of perceptual-motor skill learning have found increased activity in motor areas of frontal cortex (e.g., motor and premotor cortex, SMA) and striatal areas (e.g., the putamen). The change in activity observed here (i.e., decreased activity across a cortical network) may reflect skill learning that is predominantly expressed through more accurate performance rather than decreased reaction time.
Posted by egobel
Integration of Temporal and Ordinal Information During Serial Interception Sequence Learning
The expression of expert motor skills typically involves learning to perform a precisely timed sequence of movements (e.g., language production, music performance, athletic skills). Research examining incidental sequence learning has previously relied on a perceptually-cued task that gives participants exposure to repeating motor sequences but does not require timing of responses for accuracy. Using a novel perceptual-motor sequence learning task, learning a precisely timed cued sequence of motor actions is shown to occur without explicit instruction. Participants learned a repeating sequence through practice and showed sequence-specific knowledge via a performance decrement when switched to an unfamiliar sequence. In a second experiment, the integration of representation of action order and timing sequence knowledge was examined. When either action order or timing sequence information was selectively disrupted, performance was reduced to levels similar to completely novel sequences. Unlike prior sequence-learning research that has found timing information to be secondary to learning action sequences, when the task demands require accurate action and timing information an integrated representation of these types of information is acquired. These results provide the first evidence for incidental learning of fully integrated action and timing sequence information in the absence of an independent representation of action order, and suggest that this integrative mechanism may play a material role in the acquisition of complex motor skills.
Posted by Paul
Performing the unexplainable: Implicit task performance reveals individually reliable sequence learning without explicit knowledge
Sanchez, D.J, Gobel, E.W., & Reber, P.J. (2010). Psychonomic Bulletin & Review.
Memory-impaired patients express intact implicit perceptual-motor sequence learning, but it has been difficult to obtain a similarly clear dissociation in healthy participants. When explicit memory is intact, participants acquire some explicit knowledge and performance improvements from implicit learning may be subtle. Therefore, it is difficult to determine whether performance exceeds what could be expected based on the concomitant explicit knowledge. Using a challenging new sequence learning task, robust implicit learning is found in healthy participants with virtually no associated explicit knowledge. Participants trained on a repeating sequence randomly selected from a set of five. On a performance test of all five sequences, performance was best on the trained sequence and two-thirds of the participants exhibited individually reliable improvement (by χ2). Participants could not reliably indicate which sequence had been trained by either recognition or recall. Only by expressing their knowledge via performance were participants able to indicate which sequence they had learned.
Posted by Paul
Selected publications and reprints
- Gobel, E.W., Parrish, T.B. & Reber, P. J. (2011). Neural correlates of skill acquisition: Decreased cortical activity during a serial interception sequence learning task. Neuroimage. GobelParrishReber 2011
- Gobel, E.W., Sanchez, D.J. & Reber, P.J. (2011). Integration of temporal and ordinal information during serial interception sequence learning. Journal of Experimental Psychology: Learning, Memory & Cognition. GobelSanchezReber JEP2011
- Sanchez, D.J., Gobel, E.W. & Reber, P.J. (2010). Performing the unexplainable: Implicit task performance reveals individually reliable sequence learning without explicit knowledge. Psychonomic Bulletin & Review, 17, 790-76. SanchezGobelReber PBR2010
- Reber, P.J. (2008). Cognitive neuroscience of declarative and non-declarative memory. In Parallels in Learning and Memory (Eds. M. Guadagnoli, M, S. de Belle, B. Etnyre, T. Polk, A. Benjamin). ReberHumLearn2008
- Nomura, E.M & Reber, P.J. (2008). A review of medial temporal lobe and caudate contributions to visual category learning. Neuroscience and Biobehavioral Reviews, 32, 279-291. NomuraReber_NBR2008
- Nomura E.M., Maddox W.T., Filoteo J.V., Ing A.D., Gitelman D.R., Parrish T.B., Mesulam M.M., Reber P.J. (2007).
Neural correlates of rule-based and information-integration visual category learning. Cereb Cortex. 17(1), 37-43. Nomura_CC2007 - Safron, A., Barch, B., Bailey, J.M., Gitelman, D.R., Parrish, T.B., Reber, P.J. (2007). Neural correlates of sexual arousal in heterosexual and homosexual men. Behavioral Neuroscience, 121, 237-248. Safron_BN2007
- Reber, P.J., Gitelman, D.R., Parrish, T.B., & Mesulam, M-M. (2005). Priming and the acquisition of visual expertise: Changes in neural activity beyond the second presentation. Cerebral Cortex, 15, 787 – 795 Reber_CC2005
- Reber, P.J, Gitelman, D.R., Parrish, T.B. & Mesulam, M.-M. (2003). Dissociating explicit and implicit category knowledge with fMRI.
Journal of Cognitive Neuroscience, 15, 574-685. Reber et al JOCN2003 - Paller, K.A., Ranganath, C., Gonsalves, B., LaBar, K.S., Parrish, T.B., Gitelman, D.R., Mesulam, M.-M. & Reber, P.J. (2003). Neural correlates of person recognition. Learning&Memory, 10, 253-260.
- Skosnik, P. D., Gitelman, D.R., Parrish, T.B., Mesulam, M-M. & Reber, P.J. (2002). Neural correlates of artificial grammar learning. NeuroImage, 17, 1306-1314. Skosnik NI2002
- Reber, P.J., Siwiec, R.M, Gitelman, D.R., Parrish, T.B., Mesulam, M-M. & Paller, K.A. (2002). Neural correlates of successful encoding identified using fMRI. Journal of Neuroscience, 22 9541-9548. Reber-Siwiec JNeurosci2002
- Reber, Buxton & Wong (2002). Comparing the brain areas supporting nondeclarative categorization and recognition memory
Cognitive Brain Research, 14, 245-257. - Reber (2002). Attempting to model dissociations of memory: Comment on Kinder & Shanks (2001)
Trends in Cognitive Sciences, 6, 192-194. - Reber, Buxton & Wong (2002). Encoding Activity in the Medial Temporal Lobe Examined With Anatomically Constrained fMRI Analysis
Hippocampus, 12, 363-376. - Reber, P.J. & Squire, L.R. (1999). Intact learning of artificial grammars and intact category learning by patients with Parkinson’s disease. Behavioral Neuroscience, 113, 235-242.
- Reber, P.J., Stark, C. E. L. & Squire, L.R. (1998). Cortical areas supporting category learning identified using functional magnetic resonance imaging. Proceedings of the National Academy of Sciences, USA, 95, 747-750.
- Reber, P.J., Stark, C. E. L. & Squire, L.R. (1998). Contrasting cortical activity associated with declarative and nondeclarative memory. Learning & Memory, 5, 420-428.
- Reber, P.J. & Squire, L.R. (1998). Encapsulation of implicit and explicit memory in sequence learning. Journal of Cognitive Neuroscience, 10, 248-263.
- Reber, P.J. & Kotovsky K. (1997). Implicit learning in problem solving: the role of working memory capacity. Journal of Experimental Psychology: General, 126, 178‑203.
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