Juan (Annie) Huo PhD

Juan (Annie) Huo


Publications:
2012
  Adaptive Visual and Auditory Map Alignment in Barn Owl Superior Colliculus and Its Neuromorphic Implementation
Huo, JA & Murray, A 2012, 'Adaptive Visual and Auditory Map Alignment in Barn Owl Superior Colliculus and Its Neuromorphic Implementation' IEEE Transactions on Neural Networks and Learning Systems, vol 23(9), pp. 1486-1497.
Adaptation is one of the most important phenomena in biology. A young barn owl can adapt to imposed environmental changes, such as artificial visual distortion caused by wearing a prism. This adjustment process has been modeled mathematically and the model replicates the sensory map realignment of barn owl superior colliculus (SC) through axonogenesis and synaptogenesis.
This allows the biological mechanism to be transferred to an artificial computing system and thereby imbue it with a new form of adaptability to the environment. The model is demonstrated in a real-time robot environment. Results of the experiments are compared with and without prism distortion of vision, and show improved adaptability for the robot. However, the computation speed of the embedded system in the robot is slow. A digital and analog mixed signal very-large-scale integration (VLSI) circuit has been fabricated to implement adaptive sensory pathway changes derived from the SC model at higher speed. VLSI experimental results are consistent with simulation results.
General Information
Organisations: School of Engineering.
Authors: Huo, Juan (Annie) & Murray, Alan.
Number of pages: 12
Pages: 1486-1497
Publication Date: 2012
Publication Information
Category: Article
Journal: IEEE Transactions on Neural Networks and Learning Systems
Volume: 23(9)
ISSN: 2162-237X
Original Language: English
2009
  Silicon Superior Colliculus for the Integration of Visual and Auditory Information with Adaptive Axon Connection
Huo, JA, Reekie, M & Murray, A 2009, Silicon Superior Colliculus for the Integration of Visual and Auditory Information with Adaptive Axon Connection. in ISCAS (IEEE International Symposium on Circuits and Systems). pp. 2157 - 2160. DOI: 10.1109/ISCAS.2009.5118223
Visual and auditory map alignment in the superior colliculus (SC) of the barn owl is important for its accurate localization of prey. The visual map, and hence the alignment, may be purposefully disturbed in a juvenile barn owl by fitting it with ocular prisms, and it is found that it can adapt its auditory map to this mismatch after several weeks training. In our previous SC model, the axon growing process is instructed by an inhibitory network, the strength of which is adjusted using the neural structures involved in spatial localization. Based on this model, a mixed signal integrated circuit of the SC has been designed, and simulation results are consistent with those found by biological experiment. This new model makes possible artificial networks capable of eliminating the disparity between the visual and auditory maps.
General Information
Organisations: School of Engineering.
Authors: Huo, Juan (Annie), Reekie, Martin & Murray, Alan.
Number of pages: 4
Pages: 2157 - 2160
Publication Date: 24 May 2009
Publication Information
Category: Conference contribution
Original Language: English
DOIs: 10.1109/ISCAS.2009.5118223
  The Adaptation of Visual and Auditory Integration in the Barn Owl Superior Colliculus with Spike Timing Dependent Plasticity
Huo, JA & Murray, A 2009, 'The Adaptation of Visual and Auditory Integration in the Barn Owl Superior Colliculus with Spike Timing Dependent Plasticity' Neural Networks, vol 22, no. 7, pp. 913-921. DOI: 10.1016/j.neunet.2008.10.007
To localize a seen object, the superior colliculus of the barn owl integrates the Visual and auditory localization cues which are accessed from the sensory system of the brain. These cues are formed as visual and auditory maps. The alignment between visual and auditory maps is very important for accurate localization in prey behavior. Blindness or prism wearing may interfere this alignment. The juvenile barn Owl Could adapt its auditory map to this mismatch after several weeks training. Here we investigate this process by building a computational model of auditory and visual integration in deep Superior Colliculus (SC). The adaptation of the map alignment is based on activity dependent axon developing in Inferior Colliculus (IC). This axon growing process is instructed by an inhibitory network in SC while the strength of the inhibition is adjusted by Spike Timing Dependent Plasticity (STDP). The simulation results of this model are in line with the biological experiment and support the idea that STDP is involved in the alignment of sensory maps. This model also provides a new spiking neuron based mechanism capable of eliminating the disparity in visual and auditory map integration. (C) 2008 Elsevier Ltd. All rights reserved.
General Information
Organisations: School of Engineering.
Authors: Huo, Juan (Anie) & Murray, Alan.
Keywords: (, , . )
Number of pages: 9
Pages: 913-921
Publication Date: 1 Sep 2009
Publication Information
Category: Article
Journal: Neural Networks
Volume: 22
Issue number: 7
ISSN: 0893-6080
Original Language: English
DOIs: 10.1016/j.neunet.2008.10.007
  Sensor-driven neuromorphic walking leg control
Yang, Z, Huo, JA, Monteiro, H & Murray, A 2009, Sensor-driven neuromorphic walking leg control. in IEEE International Symposium on Circuits and Systems, 2009. (ISCAS 2009). IEEE Press, pp. 2137-2140, 2009 IEEE International Symposium on Circuits and Systems - ISCAS 2009, Taipei, Taiwan, 24-27 May. DOI: 10.1109/ISCAS.2009.5118218
We present a simple neuromorphic central pattern generators (CPG) circuit module, which is essentially a pair of coupled oscillators, to actuate a joint on a leg. This novel, reconfigurable CPG module is able to generate different motor patterns of different frequencies or duty cycles, simply by changing a few of circuit parameters. Three CPG modules, corresponding to three joints, can make an arthropod leg of three degrees of freedom (DOFs). With appropriate circuit parameter settings, and thus suitable phase lags among joints, the leg is expected to walk on a complex terrain with adaptive steps. The adaptation is associated with the circuit parameters mediated by external commands or sensory signals. Simulation results for the circuitry, designed using a 0.35 mum process, are reported.
General Information
Organisations: School of Engineering.
Authors: Yang, Zhijun, Huo, Juan (Annie), Monteiro, Hugo & Murray, Alan.
Number of pages: 4
Pages: 2137-2140
Publication Date: May 2009
Publication Information
Category: Conference contribution
Original Language: English
DOIs: 10.1109/ISCAS.2009.5118218
2008
  Deterministic Coincidence Detection and Adaptation Via Delayed Inputs
Yang, Z, Murray, A & Huo, JA 2008, Deterministic Coincidence Detection and Adaptation Via Delayed Inputs. in Lecture Notes in Computer Science (LNCS 3254) series. pp. 6.
A model of one integrate-and-firing (IF) neuron with two afferent excitatory synapses is studied analytically. This is to discuss the influence of different model parameters, i.e., synaptic efficacies, synaptic and membrane time constants, on the postsynaptic neuron activity. An activation window of the postsynaptic neuron, which is adjustable through spike-timing dependent synaptic adaptation rule, is shown to be associated with the coincidence level of the excitatory postsynaptic potentials (EPSPs) under several restrictions. This simplified model, which is intrinsically the deterministic coincidence detector, is hence capable of detecting the synchrony level between intercellular connections. A model based on the proposed coincidence detection is provided as an example to show its application on early vision processing.
General Information
Organisations: Neuroinformatics DTC.
Authors: Yang, Z., Murray, Alan & Huo, Juan (Annie).
Number of pages: 1
Pages: 6
Publication Date: 2008
Publication Information
Category: Conference contribution
Original Language: English
  Bio-inspired Real Time Sensory Map Realignment in a Robotic Barn Owl
Huo, JA, Yang, Z & Murray, A 2008, Bio-inspired Real Time Sensory Map Realignment in a Robotic Barn Owl. in Advances in Neural Information Processing Systems (NIPS) 14.
The
visual and auditory map alignment in the Superior Colliculus (SC) of barn
owl is important for its accurate localization for prey behavior. Prism learning or
Blindness may interfere this alignment and cause loss of the capability of accurate
prey. However, juvenile barn owl could recover its sensory map alignment by
shifting its auditory map. The adaptation of this map alignment is believed based
on activity dependent axon developing in Inferior Colliculus (IC). A model is
built to explore this mechanism. In this model, axon growing process is instructed
by an inhibitory network in SC while the strength of the inhibition adjusted by
Spike Timing Dependent Plasticity (STDP). We test and analyze this mechanism
by application of the neural structures involved in spatial localization in a robotic
system.

General Information
Organisations: School of Engineering.
Authors: Huo, Juan (Annie), Yang, Z. & Murray, Alan.
Publication Date: 2008
Publication Information
Category: Conference contribution
Original Language: English
  Self-organisation of gait pattern transition
Yang, Z, Huo, JA & Murray, A 2008, Self-organisation of gait pattern transition. in Proceedings of the 5th international conference on informatics in control, automation and robotics (ICINCO2008). pp. 75-79.
General Information
Organisations: School of Engineering.
Authors: Yang, Z., Huo, Juan (Annie) & Murray, Alan.
Number of pages: 5
Pages: 75-79
Publication Date: 1 May 2008
Publication Information
Category: Conference contribution
Original Language: English
  Modeling Visual and Auditory Integration of Barn Owl Superior Colliculus with STDP
Huo, JA, Yang, Z & Murray, A 2008, Modeling Visual and Auditory Integration of Barn Owl Superior Colliculus with STDP. in IEEE International Conference on Cybernetics and Intelligent Systems Robotics, Automation and Mechatronics. pp. 1124-1128.
The visual and auditory map alignment in the superior colliculus of barn owl is important for its accurate localization in prey behavior. This alignment may be disturbed by the blindness or prism wearing, the juvenile barn owl could adapt its auditory map to this mismatch after several weeks training. It is believed in literature that auditory map with the plasticity shifts in terms of the visual map change. In this paper, a model is built to explain this mechanism. The activity dependent axonogenesis during the auditory map shift is guided by the visual instructive spikes whereas the visual instructive spikes are modulated by an inhibitory network based on spike timing dependent plasticity(STDP). The simulation results are consistent with the biological experiment and would open a way towards artificial networks capable of eliminating the disparity in visual and auditory map integration.
General Information
Organisations: School of Engineering.
Authors: Huo, Juan (Annie), Yang, Z. & Murray, Alan.
Number of pages: 5
Pages: 1124-1128
Publication Date: 6 Jun 2008
Publication Information
Category: Conference contribution
Original Language: English
  Deterministic coincidence detection and adaptation via delayed inputs
Yang, Z, Murray, A & Huo, JA 2008, Deterministic coincidence detection and adaptation via delayed inputs. in Artificial Neural Networks - ICANN 2008: 18th International Conference, Prague, Czech Republic, September 3-6, 2008, Proceedings, Part II. vol. 5164, Lecture Notes in Computer Science , Springer-Verlag GmbH, pp. 453-461. DOI: 10.1007/978-3-540-87559-8_47
A model of one integrate-and-firing (IF) neuron with two afferent excitatory synapses is studied analytically. This is to discuss the influence of different model parameters, i.e., synaptic efficacies, synaptic and membrane time constants, on the postsynaptic neuron activity. An activation window of the postsynaptic neuron, which is adjustable through spike-timing dependent synaptic adaptation rule, is shown to be associated with the coincidence level of the excitatory postsynaptic potentials (EPSPs) under several restrictions. This simplified model, which is intrinsically the deterministic coincidence detector, is hence capable of detecting the synchrony level between intercellular connections. A model based on the proposed coincidence detection is provided as an example to show its application on early vision processing.
General Information
Organisations: Neuroinformatics DTC.
Authors: Yang, Z., Murray, Alan & Huo, Juan (Annie).
Number of pages: 6
Pages: 453-461
Publication Date: 1 Sep 2008
Publication Information
Category: Conference contribution
Original Language: English
DOIs: 10.1007/978-3-540-87559-8_47
  Bioinspired Real Time Sensory Map Realignment in a Robotic Barn Owl
Huo, JA & Murray, A 2008, Bioinspired Real Time Sensory Map Realignment in a Robotic Barn Owl. in Neural Information Processing Systems Conference.
The
visual and auditory map alignment in the Superior Colliculus (SC) of barn
owl is important for its accurate localization for prey behavior. Prism learning or
Blindness may interfere this alignment and cause loss of the capability of accurate
prey. However, juvenile barn owl could recover its sensory map alignment by
shifting its auditory map. The adaptation of this map alignment is believed based
on activity dependent axon developing in Inferior Colliculus (IC). A model is
built to explore this mechanism. In this model, axon growing process is instructed
by an inhibitory network in SC while the strength of the inhibition adjusted by
Spike Timing Dependent Plasticity (STDP). We test and analyze this mechanism
by application of the neural structures involved in spatial localization in a robotic
system.
General Information
Organisations: School of Engineering.
Authors: Huo, Juan (Annie) & Murray, Alan.
Publication Date: 1 Jan 2008
Publication Information
Category: Conference contribution
Original Language: English
  Adaptation of Barn Owl Localization System with Spike Timing Dependent Plasticity
Huo, JA, Murray, A, Smith, L & Yang, Z 2008, Adaptation of Barn Owl Localization System with Spike Timing Dependent Plasticity. in Neural Networks, 2008. IJCNN 2008. (IEEE World Congress on Computational Intelligence). IEEE International Joint Conference on. Proceedings - IEEE International Conference on Neural Networks, Hong Kong, pp. 155-160, Neural Networks, 2008. IJCNN 2008. (IEEE World Congress on Computational Intelligence). IEEE International Joint Conference on, Hong Kong, United Kingdom, 1-8 June. DOI: 10.1109/IJCNN.2008.4633782
To localize a seen object, the superior colliculus of the barn owl integrates the visual and auditory localization cues which are accessed from the sensory system of the brain. These cues are formed as visual and auditory maps, thus the alignment between visual and auditory maps is very important for accurate localization in prey behavior. Blindness or prism wearing may disturb this alignment. The juvenile barn owl could adapt its auditory map to this mismatch after several weeks training. Here we investigate this process by building a computational model of auditory and visual integration with map adjustment in the deep superior colliculus. The adaptation is based on activity dependent axon developing which is instructed by an inhibitory network. In the inhibitory network, the strength of the inhibition is adjusted by spike timing dependent plasticity(STDP). The simulation results are in line with the biological experiment and support the idea that the STDP is involved in the alignment of sensory maps. The system of the model provides a new mechanism capable of eliminating the disparity in visual and auditory map integration.
General Information
Organisations: School of Engineering.
Authors: Huo, Juan (Annie), Murray, Alan, Smith, L. & Yang, Z..
Number of pages: 6
Pages: 155-160
Publication Date: 1 Jun 2008
Publication Information
Category: Conference contribution
Original Language: English
DOIs: 10.1109/IJCNN.2008.4633782
2005
  The Role of Membrane Threshold amp; Rate in STDP Silicon Neuron Circuit Simulation
Huo, JA & Murray, A 2005, The Role of Membrane Threshold amp; Rate in STDP Silicon Neuron Circuit Simulation. in International Conference on Artificial Neural Networks(ICANN '05). pp. 1009-1014 .
Spike-timing dependent synaptic plasticity (STDP) circuitry is designed in 0.35µm CMOS VLSI. By setting different circuit parameters and generating diverse spike inputs, we got different steady weight distributions. Through analysing these simulation results, we show the effect of membrane threshold and input rate in STDP adaptation.
General Information
Organisations: School of Engineering.
Authors: Huo, Juan (Annie) & Murray, Alan.
Number of pages: 16
Pages: 1009-1014
Publication Date: 2005
Publication Information
Category: Conference contribution
Original Language: English

Projects:
Integration of visual and auditory maps in the superior colliculus: A neuromorphic system (PhD)