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ORCIDNeil Burgess
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2020 – today
- 2024
[c36]Assankhan Amirov, Andrea Castegnaro, Katarzyna Rudzka, Neil Burgess, Dennis Chan, Xueni Pan:
Augmented Reality as a Potential Tool for Early Detection of Alzheimer's Disease: A Pilot Study. SeGAH 2024: 1-8- 2023
- [j25]Micha Burkhardt
, Julia Bergelt, Lorenz Gönner, Helge Ulo Dinkelbach, Frederik Beuth, Alex Schwarz, Andrej Bicanski, Neil Burgess, Fred H. Hamker:
A large-scale neurocomputational model of spatial cognition integrating memory with vision. Neural Networks 167: 473-488 (2023) - [c35]Changmin Yu, Neil Burgess, Maneesh Sahani, Samuel J. Gershman:
Successor-Predecessor Intrinsic Exploration. NeurIPS 2023 - [i7]Changmin Yu, Neil Burgess, Maneesh Sahani, Sam Gershman:
Successor-Predecessor Intrinsic Exploration. CoRR abs/2305.15277 (2023) - 2022
- [c34]Changmin Yu, Dong Li, Jianye Hao, Jun Wang, Neil Burgess:
Learning State Representations via Retracing in Reinforcement Learning. ICLR 2022 - [c33]Changmin Yu, Hugo Soulat, Neil Burgess, Maneesh Sahani:
Structured Recognition for Generative Models with Explaining Away. NeurIPS 2022 - [i6]Changmin Yu, David Mguni, Dong Li, Aivar Sootla, Jun Wang, Neil Burgess:
SEREN: Knowing When to Explore and When to Exploit. CoRR abs/2205.15064 (2022) - [i5]Changmin Yu, Hugo Soulat, Neil Burgess, Maneesh Sahani:
Amortised Inference in Structured Generative Models with Explaining Away. CoRR abs/2209.05212 (2022) - [i4]Paulius Micikevicius, Dusan Stosic, Neil Burgess, Marius Cornea, Pradeep Dubey, Richard Grisenthwaite, Sangwon Ha, Alexander Heinecke, Patrick Judd, John Kamalu, Naveen Mellempudi, Stuart F. Oberman, Mohammad Shoeybi, Michael Y. Siu, Hao Wu:
FP8 Formats for Deep Learning. CoRR abs/2209.05433 (2022) - 2021
- [j24]Yijia Yan, Neil Burgess, Andrej Bicanski:
A model of head direction and landmark coding in complex environments. PLoS Comput. Biol. 17(9) (2021) - [c32]Changmin Yu, Timothy Behrens, Neil Burgess:
Prediction and generalisation over directed actions by grid cells. ICLR 2021 - [i3]Changmin Yu, Dong Li, Jianye Hao, Jun Wang, Neil Burgess:
Learning State Representations via Retracing in Reinforcement Learning. CoRR abs/2111.12600 (2021) - 2020
- [i2]Changmin Yu, Timothy Edward John Behrens, Neil Burgess:
Prediction with directed transitions: complex eigenstructure, grid cells and phase coding. CoRR abs/2006.03355 (2020)
2010 – 2019
- 2019
- [j23]Neil Burgess, Christopher E. Goodyer, Christopher Neal Hinds, David Raymond Lutz:
High-Precision Anchored Accumulators for Reproducible Floating-Point Summation. IEEE Trans. Computers 68(7): 967-978 (2019) - [c31]Neil Burgess, Jelena Milanovic, Nigel Stephens, Konstantinos Monachopoulos, David Mansell:
Bfloat16 Processing for Neural Networks. ARITH 2019: 88-91 - [c30]Talfan Evans, Neil Burgess:
Coordinated hippocampal-entorhinal replay as structural inference. NeurIPS 2019: 1729-1741 - [i1]Jesse P. Geerts, Kimberly L. Stachenfeld, Neil Burgess:
Probabilistic Successor Representations with Kalman Temporal Differences. CoRR abs/1910.02532 (2019) - 2017
- [j22]Raphael Kaplan, Daniel Bush, James A. Bisby, Aidan J. Horner, Sofie S. Meyer, Neil Burgess:
Medial Prefrontal-Medial Temporal Theta Phase Coupling in Dynamic Spatial Imagery. J. Cogn. Neurosci. 29(3): 507-519 (2017) - [e1]Neil Burgess, Javier D. Bruguera, Florent de Dinechin:
24th IEEE Symposium on Computer Arithmetic, ARITH 2017, London, United Kingdom, July 24-26, 2017. IEEE Computer Society 2017, ISBN 978-1-5386-1965-0 [contents] - 2015
- [j21]Wen-Jing Lin, Aidan J. Horner, James A. Bisby, Neil Burgess:
Medial Prefrontal Cortex: Adding Value to Imagined Scenarios. J. Cogn. Neurosci. 27(10): 1957-1967 (2015) - 2013
- [j20]Will D. Penny, Peter Zeidman, Neil Burgess:
Forward and Backward Inference in Spatial Cognition. PLoS Comput. Biol. 9(12) (2013) - [c29]Neil Burgess, David Raymond Lutz:
Exhaustive testing of Fused Multiply-Add RTL. ACSSC 2013: 405-406 - 2012
- [c28]Neil Burgess, David Raymond Lutz:
Experiments with synthesizing multiplier reduction trees. ACSCC 2012: 360-364 - [c27]Neil Burgess:
Session MP6b: Reconfigurable architectures, many-core, multi-core, and SoC (invited). ACSCC 2012: 617-618 - 2011
- [c26]Neil Burgess:
Session TP7b: Computer arithmetic II. ACSCC 2011: 1815-1816 - [c25]Neil Burgess:
Fast Ripple-Carry Adders in Standard-Cell CMOS VLSI. IEEE Symposium on Computer Arithmetic 2011: 103-111 - [c24]Benjamin Kuipers, Neil Burgess, Russell Epstein, Verner P. Bingman, Francesca Pazzaglia:
Finding your way: The cognitive science of navigation. CogSci 2011
2000 – 2009
- 2007
- [c23]Neil Burgess, Chris N. Hinds:
Design of the ARM VFP11 Divide and Square Root Synthesisable Macrocell. IEEE Symposium on Computer Arithmetic 2007: 87-96 - 2006
- [j19]John A. King, R. James R. Blair, Derek G. V. Mitchell, Raymond J. Dolan, Neil Burgess:
Doing the right thing: A common neural circuit for appropriate violent or compassionate behavior. NeuroImage 30(3): 1069-1076 (2006) - [j18]Mikkel Wallentin, Andreas Roepstorff, Rebecca Glover, Neil Burgess:
Parallel memory systems for talking about location and age in precuneus, caudate and Broca's region. NeuroImage 32(4): 1850-1864 (2006) - [p1]Iris Trinkler, John A. King, Hugo J. Spiers, Neil Burgess:
Part or parcel? Contextual binding of events in episodic memory. Handbook of Binding and Memory 2006: 53-84 - 2005
- [j17]John A. King, Tom Hartley, Hugo J. Spiers, Eleanor A. Maguire, Neil Burgess:
Anterior prefrontal involvement in episodic retrieval reflects contextual interference. NeuroImage 28(1): 256-267 (2005) - [j16]Neil Burgess:
Prenormalization rounding in IEEE floating-point operations using a flagged prefix adder. IEEE Trans. Very Large Scale Integr. Syst. 13(2): 266-277 (2005) - [j15]Neil Burgess:
New Models of Prefix Adder Topologies. J. VLSI Signal Process. 40(1): 125-141 (2005) - 2004
- [j14]Braden Phillips, Neil Burgess:
Minimal Weight Digit Set Conversions. IEEE Trans. Computers 53(6): 666-677 (2004) - 2003
- [c22]Neil Burgess:
Scaling an RNS Number Using the Core Function. IEEE Symposium on Computer Arithmetic 2003: 262- - [c21]Lai-Sze Au, Neil Burgess:
Unified Radix-4 Multiplier for GF(p) and GF(2^n). ASAP 2003: 226-236 - [c20]B. R. Lee, Neil Burgess:
Improved Small Multiplier Based Multiplication, Squaring and Division. FCCM 2003: 91- - [c19]Barry Lee, Neil Burgess:
A Dual-Path Logarithmic Number System Addition/Subtraction Scheme for FPGA. FPL 2003: 808-817 - [c18]Barry Lee, Neil Burgess:
A parallel look-up logarithmic number system addition/subtraction scheme for FPGA. FPT 2003: 76-83 - 2002
- [j13]Colin Lever, Neil Burgess, Francesca Cacucci, Tom Hartley, John O'Keefe:
What can the hippocampal representation of environmental geometry tell us about Hebbian learning? Biol. Cybern. 87(5-6): 356-372 (2002) - [j12]Daniel S. Pine, Joseph Grun, Eleanor A. Maguire, Neil Burgess, Eric Zarahn, Vivian Koda, Abby Fyer, Philip R. Szeszko, Robert M. Bilder:
Neurodevelopmental Aspects of Spatial Navigation: A Virtual Reality fMRI Study. NeuroImage 15(2): 396-406 (2002) - [j11]Neil Burgess:
The Flagged Prefix Adder and its Applications in Integer Arithmetic. J. VLSI Signal Process. 31(3): 263-271 (2002) - [c17]Neil Burgess:
PAPA - Packed Arithmetic on a Prefix Adder for Multimedia Applications. ASAP 2002: 197-207 - 2001
- [j10]Neil Burgess, Eleanor A. Maguire, Hugo J. Spiers, John O'Keefe:
A Temporoparietal and Prefrontal Network for Retrieving the Spatial Context of Lifelike Events. NeuroImage 14(2): 439-453 (2001) - [c16]Wen-Kuo Lin, Alireza Moini, Neil Burgess:
Tree-Pruning Listless Zerotree Coding. ICME 2001 - [c15]Neil Burgess, Tom Hartley:
Orientational and Geometric Determinants of Place and Head-direction. NIPS 2001: 165-172 - 2000
- [j9]Neil Burgess, Andrew Jackson, Tom Hartley, John O'Keefe:
Predictions derived from modelling the hippocampal role in navigation. Biol. Cybern. 83(3): 301-312 (2000) - [c14]Suzanna Becker, Neil Burgess:
Modelling Spatial Recall, Mental Imagery and Neglect. NIPS 2000: 96-102 - [c13]Nariman Habili, Alireza Moini, Neil Burgess:
Automatic thresholding for change detection in digital video. VCIP 2000: 133-142 - [c12]Wen-Kuo Lin, Alireza Moini, Neil Burgess:
Wavelet-transform-based video content extraction for 3D wavelet video coding. VCIP 2000: 959-966
1990 – 1999
- 1999
- [j8]Michael J. Liebelt, Neil Burgess:
Detecting Exitory Stuck-At Faults in Semimodular Asynchronous Circuits. IEEE Trans. Computers 48(4): 442-448 (1999) - [c11]Andrew Beaumont-Smith, Neil Burgess, S. Lefrere, Cheng-Chew Lim:
Reduced Latency IEEE Floating-Point Standard Adder Architectures. IEEE Symposium on Computer Arithmetic 1999: 35- - [c10]Wen-Kuo Lin, Neil Burgess:
3D Listless Zerotree Coding for Low Bit Rate Video. ICIP (3) 1999: 762-766 - [c9]Wen-Kuo Lin, Brian Wai-Him Ng, Neil Burgess:
Reduced Memory Zerotree Coding Algorithm for Hardware Implementation. ICMCS, Vol. 2 1999: 57-61 - [c8]Wen-Kuo Lin, Neil Burgess:
A low memory video compression algorithm for hardware implementation. MMSP 1999: 649-654 - 1998
- [j7]Neil Burgess, James G. Donnett, John O'Keefe:
Using a Mobile Robot to Test a Model of the Rat Hippocampus. Connect. Sci. 10(3-4): 291-300 (1998) - 1997
- [c7]Andrew Beaumont-Smith, Neil Burgess:
A GaAs 32-bit Adder. IEEE Symposium on Computer Arithmetic 1997: 10-17 - [c6]Neil Burgess:
Scaled and Unscaled Residue Number System to Binary Conversion Techniques using the Core Function. IEEE Symposium on Computer Arithmetic 1997: 250- - 1995
- [j6]Neil Burgess, Ted Williams:
Choices of Operand Truncation in the SRT Division Algorithm. IEEE Trans. Computers 44(7): 933-938 (1995) - [c5]Song Cui, Neil Burgess, Michael J. Liebelt, Kamran Eshraghian:
A GaAs IEEE Floating Point Standard Single Precision Multiplier. IEEE Symposium on Computer Arithmetic 1995: 91-97 - [c4]Song Cui, Neil Burgess, Michael J. Liebelt, Kamran Eshraghian:
A 32-bit GaAs IEEE floating point multiplier using Trailing-1's rounding algorithm. Electronic Technology Directions 1995: 246-252 - 1994
- [j5]Neil Burgess:
A Constructive Algorithm that Converges for Real-Valued Input Patterns. Int. J. Neural Syst. 5(1): 59-66 (1994) - [j4]Neil Burgess, Michael Recce, John O'Keefe:
A model of hippocampal function. Neural Networks 7(6-7): 1065-1081 (1994) - [c3]Neil Burgess:
A solvable connectionist model of immediate recall of ordered lists. NIPS 1994: 51-58 - 1993
- [j3]Silvano Di Zenzo, Neil Burgess, Paolo Ferragina, Mario Notturno Granieri:
Recognition by constructive neural algorithms. Pattern Recognit. Lett. 14(12): 997-1007 (1993) - 1992
- [j2]Neil Burgess, Silvano Di Zenzo, Paolo Ferragina, Mario Notturno Granieri:
The Generalization of a Constructive Algorithm in Pattern Classification Problems. Int. J. Neural Syst. 3(Supplement): 65-70 (1992) - [c2]Neil Burgess, Mario Notturno Granieri:
A growing network classifier of 3D objects using multiple views. ICPR (2) 1992: 512-515 - [c1]Neil Burgess, John O'Keefe, Michael Recce:
Using Hippocampal 'Plane Cells' for Navigation, Exploiting Phase Coding. NIPS 1992: 929-936 - 1991
- [j1]Neil Burgess, Mario Notturno Granieri, Stefano Patarnello:
3-D Object Classification: Application of a Constructive Algorithm. Int. J. Neural Syst. 2(4): 275-282 (1991)
Coauthor Index
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last updated on 2024-10-25 20:16 CEST by the dblp team
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